generate_functional_spec

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

With no annotations, the description carries the behavioral disclosure burden. It does state that generation is automatic and enumerates output content (use cases, screen specs, data specs). However, it does not describe what the tool returns, whether it writes to a file, or any side effects, so some key behavior is left unspecified.

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?

Two short, purposeful Japanese sentences front-load the action and then add necessary detail about input and output scope. No filler or redundant content.

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?

Given the absence of an output schema and annotations, the description should explain the return value or resulting artifact. It only says a specification is 'generated' without describing how the agent receives the result, and it ignores the optional requirementSpec input. This is a significant gap for selecting and invoking the tool 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?

The schema already describes all parameters with 100% coverage, so the baseline applies. The description only mentions the 'feature list' and omits the optional requirementSpec parameter, adding little meaning beyond what the schema provides.

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 clearly states the tool generates functional specification documents ('機能仕様書を生成します') and elaborates that it creates detailed specs including use cases, screen specs, and data specs from the feature list. This specific verb+resource plus the feature-list source distinguishes it from the sibling generate_requirement_spec.

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 communicates clear usage context: pass a feature list ('機能一覧から') to obtain a detailed functional specification. It does not explicitly mention when not to use it or point to the sibling alternative, but the source/input requirement provides clear guidance.

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