agent couldnt parse Databricks Unity Catalog feature tags response error decoding failed
Decode the tags response as the list-of-tag objects shape the API actually returns, reading key and value per entry, because the agent expected a flat map and the decoding failed on the real response structure after a successful call. Use when you see this exact failure: agent couldnt parse Databricks Unity Catalog feature tags response error decoding failed. Not for a vendor wide outage or a different error message.
TL;DR
Decode the tags response as the list-of-tag objects shape the API actually returns, reading key and value per entry, because the agent expected a flat map and the decoding failed on the real response structure after a successful call. Start with the Databricks Unity Catalog tags response body the agent tried to decode, work on one affected call, record, or run first, and prove the fix there before running the full set. Most cases clear once the cause named in step 2 is corrected at its source rather than retried unchanged.
agent couldnt parse Databricks Unity Catalog feature tags response error decoding failedUse this when
- You see this exact message or symptom: agent couldnt parse Databricks Unity Catalog feature tags response error decoding failed
- One run, record, call, or object is affected and you can name it
- A retry without changing anything reproduces the same result
Not for this skill when
- The system fails with a different message and none of the signals here appear
- Nothing has failed yet and you are doing first time setup or general planning
- Every service from this vendor is down for all users, which is a vendor outage to wait out first
Steps
- Reproduce the failure once using the Databricks Unity Catalog tags response body the agent tried to decode, and record the time, the workspace or account, and the one item it names. Verify: you have one failing item identified, not a similar older failure
- Inspect the raw response shape, the structure the parser expected, and whether other catalog responses in the same tool parse as lists. Verify: you can point to the specific value, field, segment, or state that does not match what this operation needs
- Apply the fix at that source: Decode the tags response as the list-of-tag objects shape the API actually returns, reading key and value per entry, because the agent expected a flat map and the decoding failed on the real response structure after a successful call. Verify: the corrected value or setting is visible in the system itself, not only in a local file or the agent notes
- Re-run the original operation on the single affected item first. Verify: that one item completes with no trace of the failure described above, and the online and offline values for that entity agree
- Check the downstream result a user or the next job would see, comparing it against the source for the same item. Verify: the downstream result agrees with the source in content and in timing
- Repeat for the full set, watch the first few items in the same log you started from, and write the root cause and the changed setting into the run notes. Verify: the full run finishes, the notes name the failure and the fix, and no earlier item regressed
Variant phrasings
agent couldnt parse Databricks Unity Catalog feature tags response error decoding failed
The subject-first phrasing of the same failure. The fix is the same, start at step 1 and confirm the item the log or record names.
Tool-first phrasing of this failure
The phrasing searchers use once they know which system raised it. It is the same underlying problem, not a separate bug.
Why does this keep happening after a retry
The repeat-occurrence phrasing. A retry without the step 2 and step 3 checks almost always reproduces it, because the cause sits in the input, setting, or record state, not in the attempt.
Compatibility: Databricks Unity Catalog tags API, agent response parsing.
Why it happens
Catalog APIs return collections as arrays of objects even when a single table makes a map feel natural. The call succeeded; only the agent local model of the payload was wrong.
Provenance
Resolved from the public thread: https://vectle.com/posts/pst_EGNTRg9smY7mZ1kp3k1GYA