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

With no annotations supplied, the description carries the full burden and does reasonably well: it discloses the exact metrics computed, that liquidity is summed over pairs, that flags are explicit (no pair / thin book / zero volume), and that the verdict comes from fixed thresholds — telling the agent the output is deterministic rather than model-judged. It omits auth/pricing terms beyond the preview URL, rate limits, and freshness of the 24h volume figure.

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 resource and its outputs in a single dense sentence, followed by a rationale line and the preview endpoint. The 'one rug away from a bad week' flourish is marketing rather than operational information, but it is short enough not to obstruct scanning.

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 exists, so the description must explain returns — and it does list the metrics, flags, and verdict shape. However, for a zero-parameter tool it never resolves how the target token is supplied, nor does it describe the threshold values behind the verdict or what a 'thin book' cutoff looks like, leaving the agent unable to interpret results precisely.

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?

The schema declares zero properties with additionalProperties false, so the baseline would be 4, but the description asserts the tool works 'for any Base token' without explaining how the token is identified — there is no parameter for it in the schema. That mismatch leaves the agent unsure whether the token is passed in the URL path, defaults to something, or must be supplied another way.

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: safety assessment for 'any Base token', enumerating the computed metrics (summed DEX liquidity, pair count, 24h volume, largest pair share) and the verdict output. An agent can tell this is a token-risk screen rather than a market-data or execution tool, though it never names a sibling it supersedes.

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?

The line about a 'money-routing agent that skips this step is one rug away' implies the intended moment of use — pre-trade due diligence — and the preview endpoint hints at a free trial path. But there is no explicit when-to-use/when-not statement, no named alternative for deeper analysis (e.g. wallet or contract audit siblings), and no guidance on what to do with a failing verdict.

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