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

No annotations are provided, so the description carries the full burden. It discloses that the tool returns recommendations rather than executing an action, which implies no side effects, but it never explicitly states that no escrow or transaction is created, and it does not mention permissions or failure behavior.

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 front-loaded with the core outcome, followed by a compact example list that earns its place. There is no filler or redundant repetition of the title or schema.

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?

For a single-parameter tool with an output schema, the description covers the input semantics and the high-level contents of the recommendation. It is complete enough to invoke correctly, though it leaves minor gaps around unknown job types and explicit side-effect confirmation.

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 0%, but the description compensates by defining job_type as 'job or deliverable type' and providing nine concrete examples such as 'software development', 'NFT art', and 'invoice payment'. It does not specify accepted value format or fallback behavior, but it gives an agent solid grounding.

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 uses a specific verb-resource pair: 'returns recommended escrow release conditions' and names exactly what the agent receives (proof gates, AI audit toggle, example parameters). It is clearly distinct from sibling tools that prepare, audit, or evaluate escrow work.

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 establishes clear context for use: when you have a job or deliverable type and need recommended release conditions. The example list helps an agent recognize valid inputs, though it does not explicitly name alternatives or state when not to use this tool.

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