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

With no annotations, the description carries the full burden and does disclose several behaviors: it's free, it classifies into an A/B/C model, lists missing facts, flags manual review, and explicitly does not return primary-source evidence. However, there is no mention of output shape, error behavior, or how the input booleans drive the classification.

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 clean sentences with the core action front-loaded and a clarifying negative in the second sentence. The leading 'Free:' is slight noise, but overall every clause earns its place.

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 tool with four inputs, no output schema, and no annotations, the description omits the definition of the A/B/C model, the input-to-classification mapping, and the returned shape of the missing-facts and manual-review results. An agent can call it but cannot accurately predict its output.

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 0%, so the description must compensate for the four boolean parameters, but it never mentions them or explains how they map into the A/B/C decision. The parameter names are self-descriptive, but nothing ties the inputs to the classification output.

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 uses specific verbs (classify, list, flag) against a named resource (Japan-bound hotel service flow) and states the output kinds (A/B/C classification, missing facts, manual-review flags). The explicit negative — 'does not return primary-source evidence' — further delineates what the tool is for.

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 offers no guidance on when to use this tool versus alternatives, no when-not-to-use conditions, and no prerequisites. 'Free:' hints at a cost comparison but never states a selection context, leaving the agent to infer suitability.

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