agentscan: daily pulse of the x402 Bazaar (new listings, sellers, payer gains, prices, gaps)

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

Goes well beyond the readOnly/idempotent/openWorld annotations: it discloses provenance (CDP Bazaar snapshots, keyword categories, self-purchases included, no facilitator data), data-warmup gaps ('7-day figures appear once enough snapshots exist'), error and billing semantics (422 unknown category, 503 unreadable dataset, neither charged), latency (under 0.1 s typical, up to ~30 s after a new snapshot), price, and a free-tier rate limit. It even adds a prompt-injection caution about treating returned text as untrusted.

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?

Dense and somewhat run-on, but front-loaded with the use case before the mechanics. Nearly every clause carries actionable information (pricing, latency, error/billing behavior, security note); redundancy with the schema description is the only wasted space.

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 single-optional-param read tool with an output schema, the description covers trigger, alternative, data provenance, freshness caveats, latency, cost, rate limits, error handling, and safety. Nothing an agent needs to call it correctly is missing, and return values are correctly not belabored since an output schema exists.

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 already 100% and the single `category` parameter is fully documented with its enum list and 422 behavior. The description only restates that the input is 'optional `category` to narrow the category sections; nothing else' and that totals/churn stay marketplace-wide, both of which duplicate the schema. Baseline 3 is 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?

States a specific verb+resource+scope: 'the daily pulse of the x402 Bazaar' covering listings, sellers, new/gone, payer gains, median price, and gaps. It explicitly names the sibling it is not (get_x402_repeat_demand) and the decision context (what to list or price), so an agent can distinguish it from peers without opening the schema.

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?

Opens with an explicit trigger ('Use when an agent must decide what to list or price on x402') and routes the repeat-payer case to get_x402_repeat_demand. Both the when and the alternative are stated directly.

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