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

With no annotations, the description carries the full behavioral burden and does well: it discloses that calls are paid, the exact price ($0.005 USDC), the chain/network (Base, eip155:8453), the x402 payment mechanism, and the two-step handshake. It omits failure modes, rate limits, and caching/freshness guarantees.

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?

Three sentences, front-loaded with the payload description before constraints and payment mechanics. Every clause earns its place: no padding, no restating the tool name.

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?

No output schema and no annotations exist, so the description must cover everything, and it does cover the return contents and the payment flow. It is slightly short on error behavior and freshness/polling expectations for what is billed as a 'live' snapshot.

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% and the single market_id parameter is already documented as a condition_id in the schema. The description adds no format, example, or validation detail beyond that, so the baseline 3 for full schema coverage 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?

States a specific verb and resource ('Live odds snapshot for a Polymarket market') and enumerates the payload (outcome prices, order-book top bids/asks, spreads), so an agent knows exactly what data comes back. It does not explicitly differentiate itself from siblings poly_markets/poly_signals/poly_whales, leaving that routing to inference.

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?

Gives a clear scope constraint ('V2 markets only') and an explicit invocation protocol: call once unpaid to get terms, then retry with payment in _meta['x402/payment']. That is actionable usage guidance. It stops short of saying when to prefer this tool over the sibling odds/signal/market tools.

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