generate_unit_tests

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. While it mentions 'framework-specific patterns' and 'coverage strategies,' it doesn't describe key behaviors like whether this is a read-only analysis or a generative operation that creates files, what permissions are needed, error handling, or output format. The 'SAVES' note about 'Claude context for strategic decisions' adds minimal context but leaves major gaps for a tool with 9 parameters.

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 structured into sections but includes extraneous content that doesn't directly aid tool selection. Sentences like 'WORKFLOW: Ideal for creating production-ready code, tests, and documentation' and 'TIP: Generate unlimited iterations locally, then review with Claude' are workflow advice rather than tool description. This adds bulk without clarifying the tool's core function or usage.

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 (9 parameters, no annotations, no output schema), the description is incomplete. It lacks critical information such as what the tool outputs (e.g., generated test code, file paths, success/failure indicators), behavioral details like side effects (e.g., file creation), and error conditions. The sections provided are more about workflow tips than completing the tool's contextual picture.

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 100%, so the schema already documents all 9 parameters thoroughly. The description doesn't add any specific parameter semantics beyond what's in the schema (e.g., it doesn't explain how 'coverageTarget' values map to test generation or how 'context' object should be structured). Baseline 3 is appropriate when the schema does the heavy lifting.

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 comprehensive unit tests for code with framework-specific patterns and complete coverage strategies.' This specifies the verb ('generate'), resource ('unit tests'), and key characteristics ('framework-specific patterns', 'complete coverage'). However, it doesn't explicitly differentiate from sibling tools like 'analyze_code_quality' or 'suggest_refactoring' which might also involve testing aspects.

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 some implied usage context through sections like 'WORKFLOW' and 'TIP', suggesting it's 'ideal for creating production-ready code, tests, and documentation' and for 'unlimited iterations locally.' However, it lacks explicit guidance on when to use this tool versus alternatives (e.g., 'analyze_code_quality' for quality checks or 'suggest_refactoring' for code improvements), and doesn't specify prerequisites or exclusions.

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