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

Annotations already declare readOnlyHint=false, idempotentHint=true, and destructiveHint=false, so the safety profile is largely covered. The description adds useful context that large jobs return a measured ETA and credit requirement, but it leaves unclear what 'large' means and does not explain how the quote is persisted or whether it consumes credits at quote time.

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 a single front-loaded sentence with no filler. Every clause adds either purpose or an output behavior.

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 schema is rich and annotations cover safety/idempotency, so the description does not need to repeat every field. However, for a tool requiring an upload_id, a complex contract, and an idempotency_key, the description omits important preconditions and usage context that would help an agent invoke it correctly.

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 low at 0%, so the description should compensate by explaining the required upload_id, contract, and idempotency_key parameters. It mentions none of them and adds no parameter semantics beyond the tool's broad domain.

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 verb pair and resource: 'Preflight and quote label-based feature repair.' An agent can tell this is a quoting/preflight tool for feature repair, but it does not explicitly distinguish itself from siblings such as preflight_repair or get_repair_schema.

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 'Preflight and quote' implies this should be used before running a repair, but there is no explicit when-to-use guidance, no when-not-to-use guidance, and no named alternative such as preflight_repair.

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