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 a lot of it: it discloses the upstream data sources (DexScreener, GoPlus, honeypot.is), the exact cost ($0.02 USDC on Base), and the payment-challenge/retry mechanics, plus a scope disclaimer that the output is descriptive only. It omits rate limits and failure behavior (e.g. what is returned for an invalid or non-existent pool).

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?

Front-loaded with the payload contents in a single dense clause, followed by sources, scope caveat, and payment mechanics — every sentence carries information. The output enumeration is long but each item is a distinct field an agent would otherwise not know about, given there is no output schema.

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?

With no output schema, enumerating the returned fields is essential and done well, and the payment model is fully explained. Remaining gaps are error/failure behavior and any latency or rate-limit expectations for a tool that fans out to three upstream providers.

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 both parameters are already documented, including the token-to-pair resolution and the window_hours mapping to DexScreener windows. The description adds no meaning beyond that — window_hours is not mentioned at all — so the baseline 3 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?

Names a specific resource (BSC pool) and enumerates exactly what the autopsy returns: age, liquidity, volume/spike ratios, buy/sell pressure, holder concentration, LP lock, honeypot/tax/mint/ownership flags, and a 0-100 risk grade. That is far more than a restatement of the name. It does not, however, differentiate itself from the sibling bsc_verdict, which by name appears to also produce a verdict — an agent must guess which to pick.

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?

States clearly what input is accepted ('BSC pool/pair address', with token addresses auto-resolving to the largest pair) and explains the x402 payment retry flow, so an agent knows an initial 402 is expected rather than an error. It gives no explicit when-to-use/when-not or a named alternative among bsc_verdict/bsc_alerts, which keeps it below a 5.

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