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

The description goes far beyond the annotations by detailing the fee payment options, single-use fee_hash anti-replay protection, the consensus behavior for require_consensus, and the exact return fields. This discloses significant behavioral traits (cost, side effects, conditional logic) that annotations only hint at via flags.

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 description is appropriately structured with a purpose statement, payment options, and return fields. It is somewhat lengthy but each section serves a purpose. The two payment options are slightly redundant (both can involve USDC on Base), which prevents a perfect score, but overall it is not bloated.

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?

Given the tool's complexity (fee payment, AI models, consensus option), the description covers the main aspects: purpose, precondition, return values, and a key optional feature. However, it omits error scenarios (e.g., invalid fee hash) and does not mention the task_category parameter, relying on the schema for that. Since an output schema exists, the return list adds minor redundancy.

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 the baseline is 3. The description does not add meaning to individual parameters beyond what the schema already provides. The payment procedure clarifies how to obtain a fee_hash but does not enrich parameter semantics; it's process guidance rather than parameter-level detail.

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 opens with a specific verb and object: 'Verify whether completed work meets a task specification using AI.' This clearly states the tool's function and distinguishes it from siblings like evaluate_escrow_work, which is escrow-specific. The resource is well-defined as completed work against a task specification.

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 gives clear context for when to use this tool (to audit completed work) and includes a mandatory prerequisite (pay a fee before calling). However, it does not explicitly name alternatives or state when not to use this tool in favor of a sibling, so it falls short of a 5.

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