characterize_function

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

No annotations are provided, so the description must bear the full burden. It mentions the tool works for 'pure functions' and returns pytest code, but it does not disclose side effects (e.g., file output via output_path), permissions needed, or details about how 'allow_impure' affects behavior. The description is insufficient for understanding the tool's impact.

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 concise with two sentences that convey the core purpose. However, it could improve structure by briefly listing key parameters or use cases. It is not overly verbose, but it sacrifices completeness for brevity.

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 7 parameters, 0% schema coverage, no output schema, and no annotations, the description is severely lacking. It does not explain parameter meanings, return value structure, or behavioral considerations like file creation. The agent would struggle to use this tool correctly without additional information.

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 0%, and the description does not explain any of the 7 parameters (file_path, function_name, max_cases, etc.). The agent must rely solely on the parameter names, which is inadequate for correct usage. The description adds no value to parameter understanding.

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's purpose: 'Generate characterization (regression) pytest tests for a single Python pure function.' It specifies the verb (generate), resource (characterization tests), and scope (single function), distinguishing it from siblings like characterize_method and characterize_module.

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 does not provide guidance on when to use this tool versus alternatives (e.g., characterize_method, characterize_module). It implies it's for pure functions but lacks explicit context or exclusions, leaving the agent to infer usage without clear direction.

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