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

With no annotations, the description carries meaningful behavioral context: it discloses that the data is live, identifies the two upstream venues, lists the returned fields, explains the price interpretation, and states a cost of $0.003. It does not describe rate limits, payment/auth prerequisites in detail, or failure modes, but the core behavioral profile for a read-oriented data tool is well covered.

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 description is a single dense sentence plus the price, with the purpose and key return fields front-loaded and no wasted wording. Every clause contributes useful information about what the tool returns or how to interpret it.

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?

There is no output schema, so the description usefully lists the returned fields and explains the price scale. Combined with complete schema coverage for the parameters, this is close to complete for a read-only market-data tool, though it could say more about payment handling and whether results are paginated or limited by default.

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 100%, so all three parameters are already documented in the input schema. The description adds useful context about what the response contains but does not add parameter-level meaning beyond the schema, making the baseline score of 3 appropriate.

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 resource — live prediction-market odds for a topic — and clearly names both venues (Polymarket and Kalshi) plus the side-by-side presentation. It is distinguishable from generic search or mover tools by the two-venue comparison and specific field list, though it does not explicitly name or route against sibling tools such as prediction_movers.

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 tool versus alternatives, nor when not to use it. The description implies usage by saying it provides live odds for a topic, but it does not name sibling alternatives like prediction_movers or market_search or give conditions for choosing between them.

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