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

Annotations already declare destructiveHint=false, readOnlyHint=false and idempotentHint=true, so safety is covered. The description adds one genuinely useful behavioral fact beyond the schema - the candidate can be withheld/rejected if preservation is not verified - but says nothing about the paid-job nature implied by max_total_price/payment_rail or any async/rate-limit 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?

It is a single front-loaded sentence with zero filler, which is structurally clean. However, that brevity is achieved by duplicating the title rather than by distilling additional information, so the conciseness comes at the cost of substance.

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 a deeply nested request object, required idempotency/pricing fields, a payment selection, and a paid-job flow, one sentence is not enough. An output schema exists so return values need not be described, but essential context - what preservation means, what happens to a withheld candidate, cost/job semantics - is absent.

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 0% across 4 parameters (request.original, request.candidate, semantic_context, claimed_transformation, plus top-level idempotency_key/max_total_price/payment_rail), and the description adds no parameter meaning whatsoever. Enum values such as standalone_circuit vs controlled_subcircuit, and the different semantics of 'original' vs 'candidate', are left entirely unexplained.

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?

Tautological: description restates name/title.

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?

Usage is only implied: 'audit what another compiler or AI changed' suggests calling it after an external transform, and 'withhold the candidate unless preservation is verified' hints at the decision context. No explicit when-to-use, when-not-to-use, or alternative selection (e.g., vs compare_quantum_circuits) is given.

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