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

Annotations already state readOnlyHint=false, idempotentHint=true, destructiveHint=false, and openWorldHint=false. The description adds useful operational limits (local software evidence, 4096 operations, 65536 request bytes) and the deterministic nature of the comparison, but it does not explain billing, side effects, or what exceeding limits does.

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 front-loaded with a clear Problem/Input/Result/Limits structure and uses every sentence efficiently. No wasted words.

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 the nested request object, required billing parameter (max_total_price), idempotency key, and schema version, the description is incomplete for correct invocation. It does not explain how to format the request or the role of the required envelope fields, even though an output schema exists.

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%, so the description must carry the burden. It names left probabilities, right probabilities, and rules, but omits the required top-level parameters idempotency_key, max_total_price, and schema_version, leaving agents without guidance on critical fields.

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 (Compare) and resource (bounded simulation results) and mentions the deterministic probability rules used. It is clear what the tool does, but it does not explicitly differentiate itself from siblings like quantum_provider_result_compare_v1 or compare_quantum_circuits.

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?

There is no explicit guidance on when to use this tool versus alternatives, no prerequisites, and no exclusions. The 'Problem:' framing implies a use case but leaves routing entirely to inference.

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