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

With no annotations, the description carries the behavioral disclosure burden. It discloses the $0.01 x402 cost, the live real-money nature of the data, and the specific fields returned. It does not describe response format, pagination, or failure behavior, so it is good but not exhaustive.

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 compact sentences front-load the core value proposition (what data, from where, at what cost) and then add search behavior, audience, and integration context. No redundancy or filler.

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?

The description covers source, cost, search behavior, and the returned metrics, which is sufficient for a read-style data tool even without an output schema. It omits exact response shape and error behavior, but those are less critical given the schema already documents all parameters.

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?

All four parameters are already described in the schema: q filter, top 1-25 with default 10, sort volume|liquidity with default volume, and optional x_payment payload. The description mainly reiterates the keyword examples, adding only a couple of extra terms like world cup and AI, so it adds little beyond the schema. Baseline 3 is appropriate given 100% schema coverage.

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?

States a concrete deliverable: live Polymarket prediction-market odds, further specified as top markets by 24h volume with implied probabilities, price moves, dollar volume, and liquidity. This is enough to distinguish it from generic market-data siblings such as crypto_prices even though no sibling is named.

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?

Explicitly targets trading, forecasting, news, and event-resolution agents, and frames it as one call instead of integrating the exchange API. This gives a clear use context, but it stops short of named sibling comparisons or explicit when-not-to-use conditions.

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