prediction_market_info

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

With no annotations, the description carries the full load and does disclose a real behavioral trait: the call is free and requires no payment, which matters because the siblings clearly involve x402 payment. It does not explicitly state read-only/no-side-effect status, but for a documentation-style fetch the cost/auth disclosure is the meaningful missing piece and it is present.

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?

A single front-loaded sentence that states purpose, content, and cost with no filler. 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 zero-parameter discovery tool with no output schema, the description is nearly sufficient: it names what the response contains and removes the payment concern. A brief note on when in the workflow to call it would close the remaining gap.

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 takes zero parameters and the schema is empty, so there is nothing to disambiguate; baseline is 4. The description correctly implies no inputs are needed.

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?

Names a specific verb and resource ('Get information about the Prediction Market Analyst service') and enumerates the returned content (endpoints, pricing, methodology, x402 payment). This clearly separates it from the analytic siblings (estimate, size, scan, ensemble), which compute results rather than describe the service.

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 'Free, no payment required' note implies a zero-cost discovery call, but there is no explicit statement of when to call this versus the sibling tools (e.g. 'call this first to learn pricing/endpoints before invoking the paid analytic tools'). Usage is implied, not specified.

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