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

Annotations already declare readOnlyHint=true and openWorldHint=true, so the safety profile is covered. The description adds useful output behavior (a probability for every option plus a confidence), but says nothing about input limits, handling of malformed options, or the overall-loop/model used.

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?

Two sentences, front-loaded with the action, and no filler. It could be marginally tighter, but every clause carries information about behavior or the options parameter.

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?

With no output schema, the description usefully discloses the return shape (per-option probability plus confidence), and annotations cover read-only safety. Minor gaps remain around input constraints (e.g. 60k text limit) and error behavior, but nothing essential for calling the tool correctly is missing.

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 only 33% – only 'options' is documented in the schema – but the description does clarify the least obvious parameter ('Options map an id to a description of when it applies'). 'text' and 'question' remain undocumented in both places, though their names are largely self-evident.

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 and resource ('Pick the option that best fits a text') and names the return shape (probability per option plus a confidence). It clearly conveys multi-class classification, but never differentiates itself from siblings like judge_yes_no or judge_score, so the agent must infer the boundary from the name alone.

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?

There is no when-to-use guidance and no mention of alternatives, even though judge_yes_no and judge_score clearly overlap in the sibling set. The agent must infer that 'multiple-choice with >2 options' is the selector condition without being told.

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