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

With no annotations, the description carries full behavioral disclosure. It indicates the tool is free to call ('[FREE]') and describes its output scope: endpoint list, prices, and an OpenAPI spec URL. This conveys that the operation is a read-only discovery action rather than a mutation or paid query.

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 short sentences, front-loaded with the most important signal ('[FREE]') followed immediately by the action and resource. No filler, no repetition of schema fields, and every phrase adds information.

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 zero-parameter, read-only catalog tool with an output schema available, the description fully covers what an agent needs: it explains the purpose, the free access, and the content of the returned catalog. No critical behavioral or usage gaps remain.

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 has zero parameters, and the schema confirms this with empty properties and 100% coverage. There is nothing for the description to clarify about parameters, so the baseline for a no-parameter tool 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 ('List') and resource ('all AgentWorld Data API endpoints with prices and the OpenAPI spec URL'), making the tool's function immediately clear. It also distinguishes it from the many sibling data_* tools by framing it as the catalog/discovery endpoint rather than a dataset-specific query tool.

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 includes an explicit usage direction: 'Use this to discover the full paid dataset query catalog.' This gives clear context for when an agent should invoke it. It does not explicitly name alternatives or exclusions, but the catalog nature is clear enough to avoid obvious confusion with sibling tools.

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