get_debate_verdicts

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

No annotations are provided, so the description carries the behavioral burden; it discloses automatic pagination, full-result completeness, and the returned fields (speaker, rating, provisional status). It does not mention authentication, rate limits, or explicitly state read-only behavior, but the 'Get'/'Returns' framing is clear.

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 compact and front-loaded: purpose and scope first, then return fields, then pagination behavior, then usage guidance. The repetition of 'ALL'/'every claim' reinforces the key scope rather than adding unrelated filler.

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 simple one-parameter read tool with no output schema, the description provides enough context: what is returned, that pagination is automatic, and when to use it. Only edge/error behavior is absent, which is minor at this complexity level.

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%, and the schema already documents the required slug with an example and a pointer to list_debates. The description only adds 'specific debate' context and does not add syntax or meaning beyond the schema, so the high-coverage baseline of 3 applies.

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 states a specific verb ('Get'), resource ('rated claims from a political debate'), scope ('ALL'), and return fields, so an agent can distinguish it from list_recent_claims by the 'specific debate' framing. It is not a tautology and clearly identifies the resource.

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?

It says to use this 'for claims made during a specific debate,' giving clear context, and the schema points to list_debates for finding slugs. It does not explicitly name when-not to use it or name list_recent_claims as the alternative in the description body.

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