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

Annotations already declare readOnlyHint, idempotentHint, openWorldHint and destructiveHint=false, so the safety profile is covered. The description adds genuine context by naming the external data providers (GoPlus & DexScreener) and the risk categories checked. It omits a materially important behavior: results appear gated/masked unless an API pass or x402 payment is supplied, which the description never mentions.

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 with no filler, and the dual-mode scope is front-loaded in the first clause. The opening 'AI agents' framing is slightly promotional but costs little.

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, the description carries the burden of describing what an audit returns (risk score, per-check findings, masked vs unmasked data) and it does not. It is otherwise complete about inputs and scope, but the missing result-shape and paid-unmask behavior leaves a real gap for a tool whose value depends on interpreting output.

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 all four parameters, including the enum-constrained chain and the optional x_api_key/payment_signature unlock semantics, are already documented in the schema. The description adds no parameter-level detail beyond that baseline, so a 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?

Names a specific verb ('audits') and two concrete resource types (0x contract/token addresses, https URLs), and enumerates the checks performed (honeypot, buy/sell tax, mintable, DEX liquidity, phishing, drainers, prompt injection). An agent grasps the scope immediately. It stops short of distinguishing itself from overlapping siblings like token_due_diligence or package_audit, so 4 rather than 5.

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?

'Pre-flight' implies the moment of use (before transacting with a token or visiting a URL) and the dual target types imply target-based routing. However, no explicit when-not conditions or alternatives are named, so the agent must infer whether this beats token_due_diligence or compliance_check for a given request.

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