verify

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

No annotations are present, so the description carries the full burden. It discloses that the operation is local, requires no key, and is potentially expensive because it recomputes every hash. It does not specify the return format or what happens if the chain is broken, but for a zero-parameter verification tool, the disclosed traits are valuable.

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?

A single sentence that front-loads the core purpose and includes relevant operational context (free, local, no key). Every phrase earns its place with no redundancy.

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 zero parameters, no output schema, and a simple verification goal, the description is nearly complete. It explains what it proves and how, plus environment constraints. The only minor gap is the absence of what a successful or failed verification returns.

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 tool has zero parameters, so the schema trivially covers 100% of parameters. Per the rubric, a zero-parameter tool gets a baseline of 4; the description adds no parameter details because none are needed.

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?

States a specific verb ('prove'), resource ('entire memory chain'), and mechanism ('recomputes every hash'). This clearly differentiates it from validation-type siblings like validate_token and check_conformance by scope and approach.

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?

Implied usage context: verifying the integrity of the full memory chain. However, there is no explicit guidance on when to use this versus alternatives like validate_token or check_conformance, and no exclusion criteria are given.

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