hypothesis_test

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

No annotations are provided, so the description carries full burden. It mentions using Gemini but doesn't disclose behavioral traits such as whether this is a read-only analysis, if it modifies code, execution time, rate limits, or authentication needs. For a tool with 3 parameters and nested objects, this lack of detail 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, efficient sentence that gets straight to the point without unnecessary words. It's appropriately sized for a basic overview, though it could be more front-loaded with critical details given the lack of other documentation.

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 the complexity (3 parameters with nested objects, 0% schema coverage, no output schema, and no annotations), the description is incomplete. It doesn't explain what the tool returns, how to interpret results, or provide enough context for effective use. This is inadequate for a tool that likely involves code analysis and hypothesis testing.

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%, so the description must compensate. It doesn't add any meaning beyond the schema, failing to explain parameters like 'code_scope', 'hypothesis', or 'test_approach'. This leaves agents guessing about what to provide, especially for nested structures like 'entry_points' and 'files'.

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 states the tool uses Gemini to test theories about code behavior, which provides a general purpose. However, it lacks specificity about what kind of testing (e.g., unit, integration, static analysis) and doesn't clearly distinguish from siblings like 'run_hypothesis_tournament' or 'trace_execution_path'. The phrase 'test specific theories' is somewhat vague compared to more precise alternatives.

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?

No explicit guidance on when to use this tool versus alternatives is provided. The description implies it's for testing code theories with Gemini, but it doesn't specify contexts, prerequisites, or exclusions. Without comparison to siblings like 'run_hypothesis_tournament', agents might struggle to choose appropriately.

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