analyze_codebase

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 'autonomously analyze' and 'generate documentation plan', implying it performs read operations and creates output, but doesn't disclose behavioral traits like whether it modifies files, requires specific permissions, has rate limits, or what the 'documentation plan' output entails. For a tool with no annotation coverage, this leaves significant gaps in understanding its behavior.

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 front-loads key actions ('analyze', 'extract', 'identify', 'generate'). It avoids unnecessary words and directly states the tool's function. However, it could be slightly more structured by separating analysis from output generation for clarity.

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 no annotations, no output schema, and a tool that performs autonomous analysis and generates a plan (implying potential complexity), the description is incomplete. It doesn't explain what a 'documentation plan' is, how the analysis is conducted, or any prerequisites. For a tool with 4 parameters and significant functionality, more context is needed to guide effective use.

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 fully documents all 4 parameters. The description adds no additional meaning about parameters beyond what's in the schema (e.g., it doesn't explain how 'depth' levels affect analysis or provide examples for patterns). With high schema coverage, the baseline score of 3 is appropriate as the description doesn't compensate but doesn't detract either.

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: 'Autonomously analyze entire codebase structure, extract documentation needs, identify APIs, components, and generate documentation plan'. It specifies the verb ('analyze') and resource ('entire codebase structure') with additional outcomes. However, it doesn't explicitly differentiate from siblings like 'extract_code_examples' or 'generate_api_reference', which might have overlapping analysis functions.

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 no guidance on when to use this tool versus alternatives. With siblings like 'extract_code_examples', 'generate_api_reference', and 'generate_documentation', there's no indication of whether this is a preliminary step, a comprehensive analysis, or how it relates to other documentation tools. Usage context is implied but not explicit.

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