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

With no annotations, the description carries the full burden and discloses substantial behavior: price ($0.02 USDC on Solana), the three verdicts, the repaired blob and exact diff, that every blocking defect is named for UNREPAIRABLE, the repair whitelist R1-R9, and that values are never invented. It does not cover payment/auth mechanics, idempotency, or rate limits, which keeps it from a 5.

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 dense but front-loaded with cost and scope, and the second sentence clearly limits repairs to the R1-R9 whitelist. Every sentence contributes useful information. Some phrasing is compact to the point of being slightly hard to scan, but there is no filler.

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 paid tool with no annotations and no output schema, the description explains the return verdicts and repair behavior well enough to call it correctly. It leaves some operational gaps around how payment is authorized and the exact structure of the diff, but the core behaviors are covered.

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 both parameters are already documented in the input schema. The description reinforces the relationship by saying the schema is the tool's JSON Schema and the arguments parameter is the arguments blob, and it adds the guarantee that repairs never invent values. It does not add format or syntax constraints beyond what the schema already provides, so the baseline 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?

The description states a specific action (a pre-dispatch check) and names both inputs: the arguments blob and the tool JSON Schema. It also names the possible verdicts, so the purpose is clear. It does not explicitly distinguish itself from siblings such as argument_check_precheck or argument_check_criteria, so it falls short of a 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?

The phrase 'pre-dispatch check' implies this is used before executing a tool call, and the pricing note establishes it as a paid check. However, there is no explicit when-to-use or when-not-to-use guidance, and it never names argument_check_precheck or argument_check_criteria as alternatives. The agent must infer the workflow position.

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