Thanks for working on this. I reviewed the full current diff and traced the actual CLI metadata flow end to end rather than only looking at the formatter helpers.

What this PR fixes

• User pain: the CLI already had source/sink metadata plumbing, but transform option rules and valueConstraints were still falling out of the real consumption path, even when the engine API or exported runtime metadata already exposed them.
• Fix approach: this PR extends the get_connector_info tool contract to allow connector_type="transform", preserves valueConstraints when parsing runtime API / runtime JSON metadata, and teaches SkillExecutor to collect metadata targets from source, sink, and transform through the same path.
• One-line summary: this makes transform metadata a first-class input to the CLI instead of treating it as a side channel.

Simple example

• Before this change, a request that used a Sql transform could still enrich source/sink metadata, but the transform-side option rules and constraint text were not part of the same CLI metadata flow.
• After this change, the CLI can surface transform details through get_connector_info, include transform metadata in prompt enrichment, and render any returned valueConstraints instead of dropping them.

Full runtime path I checked

transform detail query
  -> seatunnel-cli/seatunnel_cli/agents.py:69-91
     -> get_connector_info accepts connector_type = source / sink / transform
  -> seatunnel-cli/seatunnel_cli/connectors.py:get_connector_detail() [1006-1057]
     -> _fetch_option_rules("transform", name) or _load_runtime_metadata()
     -> _api_response_to_detail() / _runtime_metadata_to_detail() [183-195, 407-419]
     -> _format_connector_detail_typed()
        -> render "Value Constraints" when present [1115-1118]

pipeline generation path
  -> seatunnel-cli/seatunnel_cli/skills.py:parse_structured_plan()
     -> PipelineSlot.transform is preserved
  -> SkillExecutor.fill_and_check() [530-557]
     -> _metadata_targets_for_pipeline() [289-298]
     -> collect required options from source / sink / transform
  -> SkillExecutor.fetch_all_metadata() [559-575]
     -> fetch_connector_metadata(name, type)
     -> format_metadata_for_prompt()
        -> render required / conditional / value constraint sections [627-630]
  -> Config generation prompt now receives transform metadata through the normal path

Review result

• seatunnel-cli/seatunnel_cli/agents.py:69-91 now exposes the correct transform-aware tool contract.
• seatunnel-cli/seatunnel_cli/connectors.py:183-195,251-275,407-419,627-630,1006-1057,1115-1118,1200-1214 now preserves and renders transform-side valueConstraints from both runtime API and runtime JSON sources.
• seatunnel-cli/seatunnel_cli/skills.py:276-298,530-575 removes the old source/sink-only assumption and routes transform metadata through the same collection path used by the planner/executor flow.
• I did not find a source-level correctness blocker on the current head.

Compatibility and side effects

• Compatibility: fully backward compatible from my side. This does not change Java-side option-rule contracts, connector config keys, defaults, or serialization formats. It only lets the CLI consume metadata that already exists.
• Performance: the only extra work is one additional metadata lookup per unique transform (name, type) pair, and that path is still deduplicated.
• Error handling / logging: I did not see a new exception-swallowing or sensitive-logging issue in the changed code.

Tests and stability

• The added unit coverage exercises runtime API parsing, runtime JSON parsing, prompt formatting, transform detail lookup, runtime transform listing, and SkillExecutor.fetch_all_metadata() hitting the transform path.
• The new tests in seatunnel-cli/tests/test_connector_metadata.py:25-213 are deterministic mock-based unit tests. I do not see a flaky pattern: no timing waits, no environment-sensitive resources, no port conflicts, no shared global state leakage.
• Stability rating: Stable.
• The remaining blind spot is that there is still no live engine / exported-runtime-metadata integration test for this CLI path, and fill_and_check()'s transform-required-options branch in seatunnel-cli/seatunnel_cli/skills.py:530-557 is not covered directly yet. I would treat that as follow-up hardening, not a merge blocker.

Merge conclusion

Conclusion: can merge

1. Blocking items

• None from my side on the latest head.

2. Suggested follow-up

• If you want one extra hardening step later, add one focused test around the fill_and_check() clarification path in seatunnel-cli/seatunnel_cli/skills.py:530-557, since this PR also changes that branch.

Overall, this is a clean and focused fix. It closes a real metadata-consumption gap in the CLI without widening the change scope into the runtime itself.

At the time I checked the PR metadata, labeler and Notify test workflow were already green, and Build was still queued. So from my side the remaining gate is CI completion, not a new source-level blocker.

+1 good job

Thanks for the follow-up update. I re-reviewed the latest head from scratch, with extra attention on the two gaps Daniel called out in the previous round: transform-aware required-option coverage in fill_and_check() and the user-facing docs/help text.

What this PR fixes:

• User pain: transform metadata and value constraints were available from the runtime metadata sources, but they were not fully consumed through the CLI's real prompt-enrichment and detail-display path.
• Fix approach: the PR keeps source/sink/transform on one metadata-target path, preserves transform valueConstraints in connectors.py, and now also adds the missing fill_and_check() regression plus README/CLI text updates.
• One-line summary: the current head closes the remaining CLI-side gaps and makes transform metadata support consistent across lookup, prompting, testing, and docs.

Runtime path I checked:

transform detail lookup
  -> agents.py:get_connector_info schema
  -> connectors.py:get_connector_detail(...)
      -> query_types include source/sink/transform
      -> runtime API / runtime JSON metadata
      -> _api_response_to_detail() / _runtime_metadata_to_detail()
          -> preserve value_constraints
      -> _format_connector_detail_typed()
          -> print Value Constraints

config generation
  -> skills.py:_metadata_targets_for_pipeline()
      -> source + sink + transform
  -> SkillExecutor.fill_and_check()
      -> transform required options now participate in missing-info detection
  -> SkillExecutor.fetch_all_metadata()
      -> transform metadata also reaches prompt enrichment

Key findings:

• The normal path really does hit the change: once a pipeline contains a transform, both fill_and_check() and fetch_all_metadata() now route through _metadata_targets_for_pipeline().
• The latest commit addresses the specific follow-ups from the previous review:
  • it adds the fill_and_check() regression for transform required options
  • it keeps valueConstraints visible in both prompt formatting and connector detail rendering
  • it updates both README.md and README.zh-CN.md, plus the CLI help text
• I do not see a regression on the source/sink path, and the new tests remain deterministic and lightweight.

Testing note:

• I did source-level review only in this pass.
• I did not run the PR locally.
• The updated unit tests are stable from a structure perspective: no timing, port, network, or ordering dependency.

Conclusion: can merge

1. Blocking items

• None from the current head.

2. Suggested follow-up

• None beyond ordinary CI completion.

Overall, the current version looks consistent to me. The transform metadata path, value-constraint rendering, regression coverage, and docs are now aligned, so I do not see a remaining blocker on the code path I reviewed.