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

With annotations already declaring readOnlyHint=true, idempotentHint=true, and destructiveHint=false, the description adds valuable behavioral context: it explains how constraints are interpreted (declared vs assumed boundaries), that Gherkin output is capped at 200 cases, and that assumptions are labeled. This goes beyond the annotations without contradicting them. It doesn't fully describe all possible behaviors (e.g., what happens with invalid input), but for a read-only generator, this is strong.

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?

The description is compact and front-loaded with the core purpose. The second sentence is dense but efficiently packs key behavioral rules (boundaries, assumptions, caps). It could be slightly more structured (e.g., separating input handling from output details), but it earns its place without fluff.

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?

The tool has an output schema (which likely includes totalCases, gherkin, etc.), so the description needn't explain return values. It thoroughly covers parameter semantics, edge-case generation logic, and output constraints (cap 200). Given the tool's moderate complexity and the rich annotations/schema, the description is complete enough for an agent to select and invoke it correctly.

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 description coverage is 100%, so the baseline is 3. The description adds significant meaning: it explains that 'feature' prose constraints are used when a sentence names exactly one field, and it details how 'inputs' formats (e.g., 'min 8 chars') drive boundary generation. It also introduces parameters 'gherkinFormat' and 'gherkinScenarioCount' which are NOT in the provided input schema (likely from additional properties), and explains their purpose. This exceeds the baseline.

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+resource ('Generate a set of test cases (valid, edge, invalid, pairwise) for a given feature description'). It specifies the output types and the source input (feature description), clearly distinguishing it from siblings like 'fix_gherkin' or 'jira_to_test_suite'.

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?

The description explains when to use the tool (for a feature description with declared constraints) and how constraints drive boundary generation. It does not explicitly state when not to use it or name alternative tools, but the context is clear enough given the sibling set. The mention of 'gherkinFormat' and 'gherkinScenarioCount' parameters implicitly guides usage for Gherkin-related needs.

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