QPanda3 Runtime MCP Server

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It effectively describes the tool's behavior: it's a task submission tool (not immediate execution), returns a task ID for tracking, and requires follow-up tools to retrieve results. It doesn't mention rate limits, authentication needs, or error conditions, but provides substantial operational context beyond basic function.

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 well-structured with clear sections (Args, Returns, Example, Note) and front-loaded purpose. While comprehensive, some sentences could be more concise (e.g., the first two sentences convey similar information). Overall, it's efficiently organized with minimal 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?

Given the tool's complexity (task submission with follow-up requirements), no annotations, and the presence of an output schema, the description provides complete context. It explains the workflow, parameter meanings, return structure, and references all necessary sibling tools. The output schema existence means the description doesn't need to detail return values beyond what's already provided.

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?

With 0% schema description coverage, the description fully compensates by explaining both parameters: 'binding_id' is identified as 'The ID returned by create_circuit_observable_binding_tool' and 'device_id' as 'Target device ID (e.g., '20')'. The description adds crucial semantic context that the schema alone doesn't provide.

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 clearly states the tool's purpose with specific verbs ('execute expectation estimation', 'submit a multi-objective expectation estimation task') and identifies the resource ('CircuitObservableBinding'). It distinguishes from siblings like 'estimate_tool' by specifying it uses a previously created binding with product/zip rules defined.

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?

The description provides explicit usage guidance: it specifies prerequisites ('previously created CircuitObservableBinding with its product/zip rules defined'), references the sibling tool that creates the binding ('create_circuit_observable_binding_tool'), and explicitly names alternative tools for follow-up actions ('get_task_status_tool and get_task_results_tool to check progress and retrieve results').

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