Suggest Test Cases

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

With no annotations provided, the description carries the burden of behavioral disclosure. It implies a static analysis ('analyze') and mentions 'logic, branches, and type signatures' as inputs, but does not explicitly state that it does not modify code, does not execute the function, or what the output structure looks like beyond 'structured test case suggestions.'

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 a single, front-loaded sentence that clearly conveys the action and output. Every part adds value, with no redundant or unnecessary words.

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 is simple with two well-documented parameters, but there is no output schema and no annotations. The description hints at 'structured test case suggestions' but does not specify the return format, side effects, or any limitations, leaving some gaps for a complete understanding.

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 provides full descriptions for both parameters (file_path and function_name) with 100% coverage. The description does not add additional meaning or clarify parameter format, so the baseline score of 3 applies.

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 analyzes a specific function and generates structured test case suggestions based on logic, branches, and type signatures. This distinguishes it from sibling tools like analyze_test_coverage or get_function_complexity, which focus on coverage and complexity metrics.

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 provides context that it works on a 'specific function' and produces test case suggestions, but it does not explicitly state when to use this tool over alternatives. No exclusions or alternative tool mentions are provided, leaving some ambiguity for the agent.

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