Verified Coding Research (paid, credits or x402)

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

The description reveals cost per call ($0.10 USDC), latency range (~2-6s), the independent verification pipeline, and the attestation mechanism, all beyond the annotations' readOnly/openWorld/idempotent hints. It gives critical operational details without contradicting annotations.

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?

The labeled sections (WHAT, WHEN, WHEN NOT, COST, LATENCY, OUTPUT) make the dense information scannable and front-loaded. There is no redundant wording; every section provides necessary information for an agent to decide and invoke the tool.

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?

The description covers purpose, usage, exclusions, cost, latency, and output structure, with annotations covering safety. However, the optional 'context' input parameter is not explained, which is a minor completeness gap given the tool's complexity.

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 description implicitly defines 'query' as the coding question but does not explain the optional 'context' parameter. With 0% schema description coverage, some compensation exists (e.g., query semantics), but the context parameter's purpose remains unclear, leaving a notable gap.

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?

The description clearly states the tool answers coding questions (library/API usage, error diagnosis, best practices) and provides real citations with a signed attestation. This specific verb+resource distinguishes it from siblings like oracle_verify_work or oracle_watchtower_report, and the contrast with web search clarifies its niche.

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 description explicitly includes WHEN and WHEN NOT sections: use when you need a grounded, cited answer mid-task and are willing to pay; avoid for open-ended code generation, private/proprietary docs, or when a free unverified answer suffices, citing web search as the alternative. This is exemplary usage guidance.

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