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

The annotations already establish readOnlyHint, idempotentHint, destructiveHint=false and openWorldHint=false, so safety is covered. The description adds useful return context (question, current market number and its source, a seven-day forecast, the model page), but much of that overlaps with the existing output schema and says nothing about ordering, empty results, or the limit's effect.

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 purpose is stated in the first clause, and the second sentence enumerates the result contents without padding. The parenthetical '(and which market it comes from)' is slightly awkward but carries real meaning.

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 two-parameter, read-only search tool with an output schema and full annotations, the description covers purpose and result shape adequately. The remaining gaps (ordering, empty-result behavior, limit semantics) are minor but real.

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 50%: 'query' is documented in the schema, but 'limit' has no descriptive text, only default/min/max constraints. The description does not compensate by explaining what 'limit' controls or how results are ordered or truncated.

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 names a specific verb and resource: searching DataSnack's public forecasting models of prediction-market questions. It is clearly distinct from the get_model or cover_market siblings, but it never explicitly frames itself as the search entry point versus those lookup tools.

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 explicit guidance on when to use this versus alternatives such as get_model, or what to do when no results come back. The phrase 'Words to search for, such as a topic or a question' implies a keyword-search use case, but that guidance lives in the schema, not the description.

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