generate_tests

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It says the tool 'produces' test code, but it does not clarify whether the code is returned as a string, written to disk, or executed. For a generation tool, knowing the delivery mechanism (return value vs side effect) is critical for the agent to handle the result correctly. This omission is a significant gap.

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 sentence that is concise and front-loaded with the primary purpose. It avoids unnecessary detail and gets to the point quickly. It could arguably include a second sentence about usage or output behavior, but as written it is efficient and not verbose.

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?

Without an output schema, the description must clarify what the agent receives. It only states that test code is 'produced' without specifying the return format or whether it writes files. It also doesn't mention any constraints like requiring an existing module path or how errors are handled. For a tool with three parameters and a potentially complex output, this is incomplete. It lacks critical details for an agent to correctly invoke and use the result.

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 input schema has 100% description coverage, so the baseline is 3. The description adds no additional meaning beyond what the schema already provides for the three parameters (signature, framework, module_path). It mentions the framework implicitly by saying 'Jest/Vitest' but does not elaborate on any parameter semantics. The schema already documents defaults and examples, so the description adds no value here.

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: generating test cases from a function signature, and specifies the output type (Jest/Vitest test code). It also enumerates the test categories (happy path, edge cases, error cases, boundary value) which adds precision. However, it doesn't explicitly distinguish it from sibling tools like generate_assertions or generate_mock_data, though the purpose is clear enough that an agent could infer the distinction.

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 implies when to use the tool—when you have a function signature and need test cases—but it does not explicitly state when not to use it or mention alternatives. There is no guidance on choosing this over other test-related tools (e.g., analyze_test_coverage, generate_assertions). The usage context is understandable but not fully explicit.

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