verify_claim

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 states that the tool 're-queries GSC' (a read operation) but does not mention any behavioral traits such as rate limits, quotas, potential latency, or side effects. The description is insufficient for the agent to understand the full behavior.

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 sentence, achieving conciseness. However, it is overly brief and omits critical details about the tool's operation. It could be expanded to include verification logic or parameter hints without becoming verbose.

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 10 parameters, no output schema, and no annotations, the description is incomplete. It does not explain the verification mechanism (e.g., comparing actual vs. expected value with tolerance), or what the tool returns (pass/fail, difference). The agent lacks essential context to use the tool correctly.

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 description adds no meaning beyond the input schema. Although schema description coverage is 60% and schema provides definitions for many parameters, the description does not explain how parameters like 'expectedValue' and 'tolerancePercent' relate to the verification logic. The agent must infer semantics solely from the schema.

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: re-querying GSC to verify a numeric SEO claim before presenting it. The verb 'verify' and resource 'GSC data' are specific. However, it does not explicitly distinguish itself from sibling tools like 'search_analytics' that also query GSC, though the 'verification' use case is unique.

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 context ('before presenting to a client or stakeholder') but provides no explicit guidance on when not to use this tool or mention alternative tools. No exclusion criteria or prerequisites are stated.

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