recon-fuzz-knowledge

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 states what the tool returns ('full chapter content, category, and URL'), which is helpful, but doesn't cover critical aspects like error handling (e.g., what happens if the slug is invalid), performance characteristics, or authentication needs. For a read operation without annotations, this leaves significant gaps in understanding the tool's 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 appropriately sized and front-loaded, starting with the core purpose. The second sentence adds useful return details, and the third provides source and coverage context. While efficient, the coverage list ('Covers: Chimera framework...') could be slightly trimmed for brevity, but overall, it avoids unnecessary fluff.

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 tool's low complexity (1 parameter, no output schema, no annotations), the description is moderately complete. It explains the purpose, returns, and source, but lacks details on error cases, response format beyond listed fields, or integration with siblings. For a simple read tool, this is adequate but has clear gaps in operational context.

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 description mentions the 'slug' parameter and provides context about what it represents (e.g., examples like 'chimera-framework'), adding meaning beyond the schema's 100% coverage. However, it doesn't elaborate on slug format constraints or provide additional parameter details, so it meets the baseline for high schema coverage without fully compensating with extra insights.

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: 'Get a book documentation chapter by slug' specifies the verb (get), resource (book documentation chapter), and key parameter (slug). It distinguishes from siblings like 'get_book_concept' or 'list_book_chapters' by focusing on individual chapter retrieval. However, it doesn't explicitly contrast with all similar siblings, keeping it from a perfect score.

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 usage by mentioning the source ('book.getrecon.xyz') and coverage areas (e.g., 'Chimera framework'), suggesting when this tool is relevant. However, it lacks explicit guidance on when to use this versus alternatives like 'get_book_concept' or 'search_book', and doesn't specify prerequisites or exclusions, leaving some ambiguity for the agent.

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