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

Annotations already declare idempotentHint=true, destructiveHint=false, and openWorldHint=false, so safety/idempotency is covered structurally. The description adds useful behavioral context: the qubit/operation bounds and the nature of the returned evidence ('typed counts, probabilities, simulation configuration evidence'). However, it omits any mention of cost/billing despite the request carrying max_total_price, and readOnlyHint=false suggests a job-creating operation the description presents purely as local execution.

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 Problem/Input/Result/Limits structure is front-loaded and dense, with each clause carrying meaning. Minor waste in the verbose framing but no filler.

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?

An output schema exists, so return values needn't be described. Yet for a 4-parameter job-submission tool with nested request objects and 0% schema coverage, the description leaves the input contract and the pricing/idempotency semantics unexplained, which is a meaningful gap.

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 required parameters, so the description must carry the burden and largely fails. It vaguely says 'Input: JSON with circuit ir' but never explains idempotency_key, max_total_price (set to a fixed 0.010000), or schema_version — the pricing field in particular is critical and undocumented.

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 names a specific verb and resource: 'Execute a bounded RQM Circuit IR circuit on the managed local statevector simulator.' This is clearly distinguishable from siblings like run_buyer_job or submit_quantum_job, though it does not explicitly contrast itself with the other simulation/diagnostic tools (e.g., quantum_simulation_anomaly_diagnostic_v1).

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 guidance on when to choose this tool over alternatives like run_buyer_job, submit_quantum_job, or the many other quantum_* simulation and diagnostic tools. The 'Limits' line states hard constraints (16 qubits, 250 operations) but gives no when/when-not routing.

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