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 describes the return format in detail, which is helpful, but lacks information about potential side effects, authentication requirements, rate limits, or error conditions beyond the 'status' field. The description doesn't contradict any annotations (since none exist), but it's incomplete for a tool that might have operational constraints in a quantum computing 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?

The description is well-structured and appropriately sized. It starts with a clear purpose statement, provides return details, and includes a practical example. Each sentence adds value: the first defines the tool, the second adds context about account accessibility, the return section documents output structure, and the example shows usage. There's minimal redundancy, though the example could be slightly more concise.

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 that there's an output schema (implied by 'Has output schema: true'), the description doesn't need to fully explain return values, but it does so anyway, which adds value. With 0 parameters and no annotations, the description covers the essential purpose and output well. However, it could improve by addressing behavioral aspects like error handling or usage context relative to siblings, making it slightly incomplete for optimal agent guidance.

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 input schema has 0 parameters with 100% coverage, so no parameter documentation is needed. The description correctly doesn't discuss parameters, focusing instead on the output. This meets the baseline for tools with no parameters, as it doesn't add unnecessary information beyond what the schema provides.

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: 'List all available QPU (Quantum Processing Unit) devices' and 'Retrieves a list of all quantum computing devices accessible through the current account.' This specifies the verb ('List', 'Retrieves') and resource ('QPU devices', 'quantum computing devices'). However, it doesn't explicitly differentiate from sibling tools like 'get_qpu_properties_tool', which might provide detailed properties of a specific device rather than listing all devices.

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 no guidance on when to use this tool versus alternatives. It mentions using the output for other tools ('Use devices["devices"][0]["id"] to get device ID for other tools'), but doesn't specify which sibling tools are alternatives or when this tool is preferred. For example, it doesn't compare to 'get_qpu_properties_tool' or explain if this is for initial discovery versus detailed queries.

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