PrusaMCP

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 mentions the return values (temperatures, density, price, notes) but doesn't describe search behavior (e.g., partial matches, case sensitivity), performance characteristics, error conditions, or data freshness. For a search tool with zero annotation coverage, this leaves significant gaps in understanding how it operates.

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 concise with two sentences that directly state the purpose and return values. There's no unnecessary information, though it could be slightly more structured by separating search criteria from return values more clearly.

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?

For a search tool with 3 parameters, no annotations, and no output schema, the description is incomplete. It doesn't explain the search algorithm, result format, pagination, or error handling. While it mentions return fields, the absence of an output schema means the agent lacks structured information about the response, making the description insufficient for full understanding.

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 three parameters with clear descriptions. The description adds minimal value by listing search criteria (brand, material, keyword) but doesn't provide additional syntax, format, or interaction details beyond what's in the schema. This meets the baseline for high schema coverage.

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 searches for filaments by brand, material, or keyword, which is a specific verb (search) and resource (filaments). It distinguishes from siblings like 'analyze_mesh' or 'estimate_cost' by focusing on database lookup rather than analysis or calculation. However, it doesn't explicitly differentiate from potential similar search tools that might exist in the future.

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. It doesn't mention prerequisites, when not to use it, or how it relates to sibling tools like 'recommend_profile' or 'generate_prusaslicer_config'. The agent must infer usage from the purpose alone.

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