Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Adds substantial context beyond the annotations: it guarantees no invention ('It never invents'), names the INCOMPLETE_SPEC verdict and empty-suite behavior for thin tickets, and states that test_suite._gherkin_warnings is a deterministic syntax check. It also discloses the BYOK requirement ('your LLM key'). It does not address the credential-precedence question or what happens on LLM call failure, which keeps it below 5.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Front-loaded with the core capability, then supporting guarantees, in roughly five compact sentences with no filler. The telegraphic style ('BYOK: your LLM key.') is efficient, though the abrupt internal reference to test_suite._gherkin_warnings could be clearer.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a 9-parameter tool with nested objects, an output schema present, and a non-trivial LLM-backed pipeline, the description covers the essential contract: inputs (issue or credentials), the non-invention guarantee, the INCOMPLETE_SPEC outcome, and the BYOK key requirement. The remaining gaps are precedence between issue and issue_key and failure/credential-error behavior.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 67% with the key parameters (issue, model, api_key, issue_key, max_tokens, confluence_pages) documented in-schema; the description reinforces the issue-vs-credentials split and the BYOK nature of api_key. However, jira_email, jira_token, and jira_base_url have no schema descriptions and the description only gestures at them collectively as 'Jira credentials', leaving no guidance on precedence between issue and issue_key. Baseline 3 is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description opens with a specific verb and resource ('Turn a Jira ticket into a test suite') and enumerates concrete outputs: Gherkin scenarios, E2E steps, API tests, test data, and clarification questions. This clearly distinguishes it from nearby siblings like generate_test_cases, prompt_test_suite, and fix_gherkin, which are single-purpose generators or linters.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

It explicitly documents the two entry paths: 'Pass the issue object, or Jira credentials to fetch it', and describes the degraded path ('a thin ticket returns an empty suite with verdict INCOMPLETE_SPEC'). It does not explicitly compare itself to the other test-generation siblings, so an agent must infer precedence.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.