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

With no annotations provided, the description carries the full transparency burden. It explicitly lists the validation criteria (signature validity, temporal bounds, H3 cell authorization, facet authorization) and states the return type, giving a solid picture of behavior. It does not mention side-effects or failure modes, but as a verification tool it is implicitly read-only and the description is transparent about its checks.

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 two sentences: the first front-loads the purpose and the second details the checks and output. Every sentence earns its place with no fluff or repetition.

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?

The description adequately covers the tool's purpose, key inputs, and high-level output. Given the absence of an output schema, saying it returns a structured result indicating whether the agent may proceed is sufficient for an agent to invoke it correctly. It does not cover error cases, but the complexity is moderate and the description is complete enough for selection and invocation.

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 already provides descriptions for all three parameters, covering 100% of them. The tool description reinforces the roles of h3_cell as territory and facet as authorization but does not add meaning beyond the schema, so a baseline score of 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 uses a specific verb 'Verify' and clearly identifies the resource (H3 territorial cell) and the subject (AI agent authorization). It distinguishes itself from sibling tools by naming the specific certificate checks performed, making it clear that this tool is for authorization verification rather than chain checking or proof generation.

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 clearly implies when to use the tool: when verifying an agent's authorization in a specific H3 cell. It provides clear context but does not explicitly exclude alternatives like check_delegation_chain or generate_audit_proof, so it misses full when-not guidance.

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