analyze_stamp_patterns

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. It mentions analyzing patterns and identifying common elements, but doesn't cover critical aspects like whether this is a read-only or mutating operation, performance characteristics (e.g., computational cost, rate limits), authentication needs, or what the output format looks like (since there's no output schema). This is a significant gap for a tool with 6 parameters and no annotation coverage.

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 the core purpose without unnecessary details. It's appropriately sized for the tool's complexity, with zero waste or redundancy. However, it could be slightly improved by structuring it to hint at key parameters or outcomes, but it's already very concise.

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 complexity (6 parameters, no annotations, no output schema), the description is incomplete. It adequately states the purpose but fails to provide behavioral context, usage guidelines, or output expectations. Without annotations or an output schema, the description should do more to explain what the tool returns or how it behaves, making it insufficient for effective agent 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?

The input schema has 100% description coverage, with each parameter well-documented (e.g., 'sample_size' as 'Number of stamps to analyze for patterns'). The description adds no additional parameter semantics beyond what the schema provides, such as explaining relationships between parameters or usage nuances. With high schema coverage, the baseline score of 3 is appropriate, as the description doesn't compensate but also doesn't detract.

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: 'Analyze patterns across multiple recursive stamps to identify common libraries, frameworks, and coding techniques used in the ecosystem.' It specifies the verb ('analyze'), resource ('recursive stamps'), and outcome ('identify common libraries, frameworks, and coding techniques'). However, it doesn't explicitly differentiate from siblings like 'analyze_stamp_code' or 'search_stamps', which might have overlapping functionality, so it falls short of 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 provides no guidance on when to use this tool versus alternatives. With siblings like 'analyze_stamp_code', 'search_stamps', and 'get_stamp_dependencies', there's no indication of context, prerequisites, or exclusions. It lacks explicit when/when-not instructions or named alternatives, leaving usage unclear.

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