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

Annotations cover the safety profile (readOnly=false, idempotent=true, openWorld=true), so the description's real contribution is the payment/auth disclosure (x402, X-Bazaar-Key, Bearer bz_live_...), the price, and the determinism guarantee. That is meaningful behavior beyond the annotations, though it omits rate limits, failure modes, and what a deterministic audit actually returns.

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 and compact, but the price and auth mechanics are restated multiple times ('0.01 USDC' appears three times across title and description), which is wasted space an agent does not need repeated.

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 'OpenAI-compatible' claim gives the agent the expected response shape, and auth/cost are fully disclosed. Missing error behavior and rate-limit details keeps it short of a 5.

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 coverage is 100% (model enum, prompt, optional tool slug all documented), so the schema does the heavy lifting. The description adds only one useful detail: that OpenAI messages[] can be passed in the POST JSON body instead of prompt.

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: an OpenAI-compatible chat completion endpoint scoped to security, DeFi, compliance, DevOps and FinOps auditing. That makes it distinguishable from the sibling suite_*/lint_* tools, though the pricing/auth prefixes push the actual purpose behind boilerplate.

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?

There is no when-to-use or when-not guidance: nothing says when to call this auditor vs. suite_smart_contract_security, suite_defi_execution_risk, or the other auditor siblings. The 'also mounted at /v1/chat/completions' line is routing information, not selection guidance.

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