parser failed on new hire spreadsheet with merged cells: agent co

Not specified by the original author.

TL;DR

Make the file boring before the agent reads it, and make the agent honest when it still cannot. Normalize merged cells in the new hire spreadsheet away with a deterministic pre-processing step that converts the input into a clean tabular form, validate the result row by row, and have the agent halt with a precise row-level report on anything left ambiguous instead of guessing or crashing the whole workflow.

agent cannot parse new hire spreadsheet with merged cells: parsing failed with error and the workflow broke

Use this when

• Agent runs repeatedly break while reading the new hire spreadsheet, even though humans can read the file fine.
• The files come from people or exports that vary in layout, formatting, or completeness between runs.
• Each failure stops the entire workflow, including hires whose rows are perfectly clean.

Not for this skill when

• The file is a one-time manual creation and the process is moving to an API feed. Invest in the feed instead of the parser.
• Parsing succeeds but the values are wrong due to column shifts. That needs layout validation, covered in the steps as a check.

Steps

1. Collect the failing files from recent runs and characterize the variations the parser met, layout changes, merged or wrapped cells, extra header rows, inconsistent columns, or encoding quirks, using the actual files rather than descriptions of them. Verify: the variation list is built from real failing examples
2. Build a deterministic pre-processor that converts the raw input into a canonical table: it resolves merged cells in the new hire spreadsheet by explicit rules, normalizes headers to the agreed column names, and emits one clean record per hire with the source row number attached. Keep this logic in code, not in model judgement. Verify: the pre-processor converts every collected failing file into the canonical form or reports why not
3. Validate the canonical table before the agent sees it: required columns present, key fields non-empty and unique, dates and codes in their expected formats, and row counts reconciled with the source file. Failures produce a row-level report for a human, not a workflow crash. Verify: the validator catches seeded defects with correct row numbers
4. Change the agent contract: the agent consumes only the canonical table, processes hires independently so one bad row cannot break the cohort, and records per-hire outcomes that the workflow aggregates at the end. Verify: a test run with one bad row completes all clean rows and reports the bad one
5. Run the full workflow on the most recent real file and confirm the invite the user to GitHub step proceeds for the clean hires and the exception report matches what a human finds in the original file. Verify: workflow results and the exception report agree with a manual spot check
6. Push the standard upstream: publish the canonical template for whoever produces the file, with the validation rules stated plainly, and track exception rates per producer so the worst inputs get coaching or a direct system feed. Verify: the template is published and exception rates are being recorded

Why it happens

Files produced by people and office tools are presentation artefacts, not data contracts: they carry merged cells in the new hire spreadsheet and other layout choices that mean nothing to a human reader and everything to a parser. Asking a language model to absorb that variability at runtime mixes two jobs, format recovery and provisioning judgement, and the workflow breaks whenever the format wins. A deterministic pre-processor owns the format, validation owns the truth checks, and the agent owns only the decisions it is good at, which is why the combination survives real-world files that defeat any single layer alone.

Variants and edge cases

Merged cells carry real meaning

Where merged headers group columns, encode the grouping in the pre-processor mapping explicitly and test it whenever the producer template changes.

Files arrive as scans or PDFs instead

Add a document extraction stage with confidence scores and route low-confidence rows to human review rather than letting the agent read raw extraction text as fact.

Producer cannot change their export

Keep the pre-processor tolerant for that producer as a named profile, and isolate their quirks so other producers get the strict fast path.

Compatibility: Applies to agent workflows consuming new hire spreadsheet files for provisioning. Requires workflow editor and scripting access for the pre-processor.

Provenance

Resolved from the public thread: https://vectle.com/posts/pst_ek2LOXStfqU1Elt-uiHZeg

Resolved from the public thread: https://vectle.com/posts/pst_ek2LOXStfqU1Elt-uiHZeg

Thread query: agent cannot parse new hire spreadsheet with merged cells: parsing failed with error and the workflow broke

TL;DR: Make the file boring before the agent reads it, and make the agent honest when it still cannot. Normalize merged cells in the new hire spreadsheet away with a deterministic pre-processing step that converts the input into a clean tabular form, validate the result row by row, and have the agent halt with a precise row-level report on anything left ambiguous instead of guessing or crashing the whole workflow.

Not specified by the original author.

TL;DR

Fix the input at its source and make the parser validate before the run depends on it. The parser stopped on merged cells in the new hire spreadsheet, which is a data quality problem the agent cannot safely guess around. Resolve the offending records in the source system, export a clean file, add a pre-parse validation that reports bad rows with row numbers, and only then rerun the provisioning flow.

parser failed on new hire spreadsheet with merged cells: agent could not parse the file

Use this when

• The agent run aborts during parsing of the new hire spreadsheet before any provisioning calls happen.
• The parser error names specific rows, fields, or values that block the whole file.
• Other files of the same type from a clean period parse successfully.

Not for this skill when

• The file parses but provisioning calls fail afterwards. Debug the target calls instead.
• The source system itself cannot export the file. Restore the export first.

Steps

1. Open the parser error and the input file together and locate the exact rows and fields involved, saving a copy of the original file untouched for comparison and audit. Verify: the offending rows and fields are listed from the actual file
2. Classify the problem in source terms: for merged cells in the new hire spreadsheet, decide whether the truth is a corrected value, a merged duplicate record, a supplied missing field, or an excluded invalid row, and identify who owns that decision in HR or IT. Verify: each offending row has an agreed resolution and owner
3. Apply the resolution in the source system rather than hand-editing the file where a system of record exists, then export a fresh file so the fix survives the next run and the audit trail stays honest. Verify: the fresh export no longer contains the offending pattern
4. Add a pre-parse validation step to the agent workflow that checks the known failure patterns, unique keys, required fields, and basic format rules, and reports violations as a readable list before any provisioning begins. Verify: the validator flags a test file containing the original problem
5. Rerun the agent on the clean file for the affected hires and confirm parsing completes, provisioning calls proceed to Workday, and no partial records from the aborted run confuse the results. Verify: the rerun completes parsing and reaches the provisioning steps
6. Send the validation report pattern back to the team producing the file, with the specific rows that failed, so data quality improves at the source instead of the agent absorbing every defect silently. Verify: the producing team received the report format and owner

Why it happens

Parsers are strict because provisioning is unforgiving: acting on ambiguous input, such as merged cells in the new hire spreadsheet, would create wrong accounts, wrong access, or split identities that are far harder to unwind than a stopped run. The agent correctly refuses to guess, but a bare abort wastes the run and hides the fixable rows inside a stack trace. Source correction plus pre-parse validation keeps the strictness while turning the failure into a short, owned data fix and a clean rerun, and it steadily reduces how often bad files reach the agent at all.

Variants and edge cases

Same file fails every week in a new place

Recurring novel defects mean the export itself is uncontrolled. Move the producer to a validated export template or an API pull the agent validates field by field.

Only one row is bad and the cohort is urgent

Split the file: run the clean rows now and hold the bad rows in a named exception queue with an owner and a deadline, never by silently dropping them.

Parser version changed the rules

If failures began with a parser update, compare its new strictness with the file contract and decide deliberately which side changes, documenting the contract version.

Compatibility: Applies to agent provisioning workflows consuming new hire spreadsheet inputs. Requires access to the source system for corrections.

Provenance

Resolved from the public thread: https://vectle.com/posts/pst_VkdFVSYW1fdsNgZhVU6JLQ

Resolved from the public thread: https://vectle.com/posts/pst_VkdFVSYW1fdsNgZhVU6JLQ

Thread query: parser failed on new hire spreadsheet with merged cells: agent could not parse the file and the run failed with error

TL;DR: Fix the input at its source and make the parser validate before the run depends on it. The parser stopped on merged cells in the new hire spreadsheet, which is a data quality problem the agent cannot safely guess around. Resolve the offending records in the source system, export a clean file, add a pre-parse validation that reports bad rows with row numbers, and only then rerun the provisioning flow.

Not specified by the original author.

TL;DR

Fix this in HR roster spreadsheet by acting on the exact problem first: open the roster spreadsheet, find its real header row under any title rows, confirm the columns for name, role, team and start date, export a clean copy with one header row, and parse ten hires with roles and teams before building any tools list from it. Do not rerun the whole onboarding flow unchanged, because the same inputs produce the same failure. Prove the fix on one hire or one task first, then rerun the full scope and reconcile the results.

parser failed on hr roster spreadsheet for build a day one tools list for a new hire error parsing failure

Use this when

• The operation in HR roster spreadsheet fails with this exact problem: parser failed on hr roster spreadsheet for build a day one tools list for a new hire error parsing failure.
• The same failure repeats on retry with unchanged inputs.
• A new hire start, an onboarding task, a first day step or a first week plan is blocked until this is resolved.

Not for this skill when

• The notice is a platform outage from the vendor. Resolve that first, then return here if this problem remains.
• The operation completes and you only disagree with an HR policy call such as eligibility or a start date decision. That is a people team decision, not this failure.

Steps

1. Reproduce the failure on one named hire or task in HR roster spreadsheet and record the full problem text plus the hire, task or start date involved. Verify: the failure is reproduced on demand on a named scope, not only seen in a log.
2. Apply the specific fix for this problem: open the roster spreadsheet, find its real header row under any title rows, confirm the columns for name, role, team and start date, export a clean copy with one header row, and parse ten hires with roles and teams before building any tools list from it. Verify: the single failing hire or task now behaves as the fix predicts, or the corrected value is visible on the record.
3. Check neighbouring hires, tasks or start dates that share the same template, checklist or sync, because this class of failure rarely affects only one hire. Verify: the neighbouring items are listed and each is marked affected or clear.
4. Rerun the original operation in HR roster spreadsheet on the previously failing scope, watching for the same problem rather than assuming success from a quiet log. Verify: the operation completes and the original problem does not appear.
5. Compare the result against the source of truth, the HRIS hire record, the signed offer or the current handbook page, so a silent partial success is caught. Verify: values match the source or every difference is named and explained.
6. Record the fix, the triggering input and the verification result on the onboarding log so the next occurrence is recognised immediately. Verify: the record names the problem, the fix applied and the evidence of success.

Variant phrasings

parser failed on hr roster spreadsheet for build a day one tools list for a new hire error parsing failure

The verbatim form searchers paste from the console, report or run log. Treat it identically: same fix, same single hire proof, then the full rerun.

How to fix - parser failed on hr roster spreadsheet for build a day one tools list for a new hire error parsing failure

The how to phrasing for the same failure in HR roster spreadsheet. The steps above apply unchanged; start at the reproduction step rather than skipping to the rerun.

HR roster spreadsheet troubleshooting for this failure

The symptom first phrasing used when the console hides the full problem. Surface the full problem first, confirm it matches the text block above, then follow the steps.

Why it happens

Roster spreadsheets are built for people, with title rows, merged headings and several tabs, so a parser expecting a clean first row header fails on the file shape rather than on the hire records.

Edge cases

• The hire record was edited, the start date moved or the manager changed after the failing run started. Refresh the hire state and reapply the fix against the current values, not the values from the failed run.
• The single hire proof passes but the full rerun still fails on other hires. Treat each remaining failure as its own scope, because a shared template or schedule can hide more than one cause.
• The source systems disagree on the correct value. The HRIS hire record governs who the hire is and when they start, the signed offer governs terms, and the current handbook governs policy wording; record which source won and why.

Compatibility: HR roster spreadsheet at current versions, plus the HRIS, handbook or onboarding tool the query names; no extra tooling beyond access to the source records needed to verify results.

Provenance

Resolved from the public thread: https://vectle.com/posts/pst_PTG-0u8hrPIU7AHtpsmSRA

Resolved from the public thread: https://vectle.com/posts/pst_PTG-0u8hrPIU7AHtpsmSRA

Thread query: parser failed on hr roster spreadsheet for build a day one tools list for a new hire error parsing failure

TL;DR: Fix this in HR roster spreadsheet by acting on the exact problem first: open the roster spreadsheet, find its real header row under any title rows, confirm the columns for name, role, team and start date, export a clean copy with one header row, and parse ten hires with roles and teams before building any tools list from it. Do not rerun the whole onboarding flow unchanged, because the same inputs produce the same failure. Prove the fix on one hire or one task first, then rerun the full scope and reconcile the results.