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

readOnlyHint=true already tells the agent this is a safe read, so the description's main added value is that each example is a self-contained job with arguments ready for execution. It does not say how examples are identified or how many exist, which matters for iterating over them. Adequate, but not rich behavioral context.

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: the first names the tool's output and its breadth, the second states exactly what to do with it. The example list is long but each item earns its place by signaling coverage (small circuits through 1000-qubit and MPS cases).

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?

With an output schema present, the description needn't explain return shape, and it covers purpose, content scope, and the follow-up action. The only gap is not indicating how to pick or reference a specific example by name.

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?

The tool takes zero parameters, so there is nothing for the description to disambiguate; baseline 4 applies. The description correctly implies a no-argument catalog call.

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 concretely that this surfaces worked examples, each a complete job (OpenQASM program plus arguments), and enumerates representative content (Bell pair, rotation, QAOA, noise, GHZ, MPS). It is clearly distinguishable from siblings like run_quantum_circuit or compile_qasm, which execute or transform rather than supply examples.

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 gives an explicit next step: pass an example's job to run_quantum_circuit unchanged, or adapt it. That covers the primary usage path, though it does not state when not to reach for this tool (e.g., if you already have a program to compile or diagnose).

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