binoculars_analyze_text

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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint false. The description adds meaningful behavioral context beyond those: the analysis is not proof of authorship and uses local models, which is a useful limitation for an agent to know.

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 front-loaded sentence with no filler. Every element earns its place: the action, the local-model context, and the critical limitation about authorship.

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 read-only tool with annotations, schema-provided parameter descriptions, and an output schema, the description covers the main non-obvious context. The absence of explicit usage guidance versus alternatives is the main gap preventing a higher score.

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 description gives no parameter-level guidance for `text` or `mode`. With schema description coverage at 0%, the description was expected to compensate; it does not. The input schema itself documents the parameters well, which prevents a score of 1.

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 action and resource: 'Assess text using pre-existing local models.' It is semantically distinct from the sibling `binoculars_status`, though it does not explicitly name that sibling or draw a contrast.

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 provides no explicit when-to-use guidance or exclusions beyond the caution 'never proof of authorship.' It does not mention alternatives or describe situations where this tool should be preferred, so the agent must infer usage from the name and schema.

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