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

Annotations already declare this is not read-only, is idempotent, and non-destructive. The description adds valuable context about the outcome: returns an order_id and conditionally a payment link, and describes the email invoice fallback. This goes beyond annotations by explaining what happens after acceptance.

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?

Two sentences with no waste, front-loaded with the core action and result, then conditional behavior. Efficient and clear.

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 annotations and full schema coverage, the description is nearly complete: it covers outcomes and conditional flows. However, it doesn't mention any permissions or error handling, though these may be inferred. For a mutation tool, this is strong but not exhaustive.

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 100%, so the schema already documents both parameters thoroughly. The description doesn't add parameter-specific details beyond implying 'ready' status for rfq_id, which the schema also states. 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 verb ('Accepts') and resource ('quote') and clearly distinguishes this from sibling read tools like get_quote and get_order by noting it returns an order_id. It also specifies the precondition ('ready' quote).

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 implies usage when a quote is 'ready', but doesn't explicitly state when to use this tool versus alternatives or exclusions. The schema parameter 'confirm' provides some usage context, but the description itself lacks explicit guidance.

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