kremis_certify

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

No annotations are provided, so the description must convey behavioral traits. It describes the output (certificate) but does not disclose whether the operation is read-only, if it requires special permissions, or what happens on concurrent requests. More detail is needed for a production tool.

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, well-structured sentence that conveys all essential information without unnecessary words. It efficiently defines the tool's purpose and functionality.

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 has only one parameter, no output schema, and no annotations, the description adequately covers the purpose and two main outcomes. However, it could benefit from clarifying what a 'Verifiable Query Certificate' is for users unfamiliar with the concept.

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 coverage is 100% for the single parameter 'entity_id', and its schema description aligns with the tool description. The main description adds minimal extra meaning beyond the schema, so baseline 3 is appropriate.

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 produces a 'Verifiable Query Certificate' for entity lookup, specifying two use cases: proof of fact or proof of absence. This distinguishes it from sibling tools like kremis_lookup which likely perform simple data retrieval.

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 for obtaining verifiable certificates but does not explicitly state when not to use it or mention alternative tools (e.g., kremis_lookup for non-certified data). The context is clear but lacks explicit exclusions or guidance.

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