Generate Single

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

With no annotations, the description carries the full burden, and it does disclose meaningful traits: this is a multi-step pipeline, it performs 'zero registration' (side-effect scope), and target_dir has a hard emptiness precondition. It omits permissions/auth, failure modes, and whether the clone is cached or temporary, so it is partial but not empty.

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?

A single dense line with the pipeline front-loaded via arrows and the critical constraint parenthesized at the end. Nothing is wasted, though the extreme terseness borders on under-specification for a 5-parameter tool.

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 tool with no annotations, no output schema, a nested params object, and 5 parameters at 0% schema coverage, the description is too thin. An agent cannot tell what params should contain, what version does, or what skip_tasks skips.

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 0% across 5 parameters, so the description must compensate and largely does not. It adds real meaning only for target_dir (must be empty/nonexistent); git_url, params, version, and skip_tasks are entirely undocumented in both schema and description, including the nested params object.

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 names a specific operation ('单端直生成' = single-target direct generation) and enumerates the pipeline it performs (clone → read protocol → spec validation → copier copy). This contrasts implicitly with the sibling generate_multi, though the distinction 'single vs multi' is conveyed by the name rather than stated explicitly.

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 gives one usage precondition — target_dir must be empty or nonexistent — which tells the agent when the call will succeed. However, it never states when to choose this over generate_multi, nor any prerequisites about the git_url or protocol source, so routing guidance is only implied.

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