compare_edge_cases

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

No annotations are provided, so the description carries the full burden. It discloses the return value ('Returns a per-input matrix plus a divergences list') and clarifies expected snippet format ('provide a correct snippet per language'), which is useful. However, it does not explain error handling, performance implications, or what happens if a language fails.

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 at three sentences but imparts all key information. The inclusion of the default input list is helpful, though it slightly lengthens the description. Overall, it is well-structured and front-loaded with the core purpose.

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 2 parameters, no annotations, and no output schema, the description covers purpose, parameter semantics, and output. It lacks information about prerequisites (e.g., available languages) and edge cases like duplicate snippets, but is still sufficiently complete for basic usage.

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?

With 0% schema description coverage, the description compensates by explaining 'snippets maps language -> code' and describing the default 'inputs' list. It goes beyond the bare types by giving a concrete example of default edge-case values, though it could further clarify the structure of each snippet or the return format in more detail.

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 'Run the same logic in N languages on edge-case inputs and flag divergence.' It uses a specific verb ('Run') and resource ('same logic in N languages') and distinguishes itself from siblings like 'compare_execution' by focusing on edge-case inputs and divergence detection.

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?

Usage is implied through the description of default inputs ('Default inputs cover empty, zero, negative, and float-precision cases') but no explicit alternatives or exclusions are mentioned. The tool's purpose is clear, but the description does not tell the agent when not to use it or what related tools exist, making it only implicitly a comparison tool.

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