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

The description goes far beyond annotations by disclosing that it contacts an external provider, consumes funding, that refunds do not restore authorization, and that a confirmation is consumed even on failure or refund. It also aligns with idempotentHint by noting duplicate delivery returns the existing job, adding meaningful behavioral context not present in annotations.

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 every sentence carries critical information: preconditions, financial implications, idempotency, recovery. It is front-loaded with the most important usage rule and organized logically from precondition to consequences. No filler or redundancy.

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 tool with financial and external side effects, no output schema, and high complexity, the description covers all essentials: when to call, what it does, what happens on duplicate, refund, failure, and how to recover. It even notes that an accepted job is not a completed result, ensuring the agent understands the full lifecycle.

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%, so the description must compensate. It references quoteId as the 'exact fresh quote returned by prepare_generation' and implies confirmed must be true via 'explicit user approval'. While it doesn't name the parameters directly, it gives functional meaning to the quoteId and the confirmation flag, adding value beyond the schema's UUID and const true.

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 (confirm a generation), the exact precondition (after explicit user approval of the exact fresh quote from prepare_generation), and distinguishes it from siblings by specifying it consumes funding and authorizes exactly one paid attempt. It also clarifies that duplicate delivery returns an existing job, so it's clearly not a retry tool.

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?

It explicitly says 'Use only after explicit user approval' and details when not to use it (never to retry a failed generation). It even recommends recovery paths through get_generation_status or list_recent_generations for ambiguous responses, giving clear when/when-not and alternatives.

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