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guoji-quantum

GJQ Runtime MCP Server

Official

estimate_tool

Submit a quantum circuit and Pauli observable to compute expectation values. Returns a task ID for asynchronous result retrieval.

Instructions

Submit an expectation-estimation task.

observable is a list like [["ZZ", 1.0], ["XX", 0.5]] (Pauli string + coeff). Returns a task_id; fetch results with get_task_result_tool(task_id, observable).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
qasmYes
shotsNo
transpileNo
observableYes
backend_nameYes
amplitude_indexNo
optimization_levelNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

With no annotations, the description carries full burden for behavioral traits. It discloses async nature (returns task_id), but lacks details on error handling, permissions, rate limits, or potential side effects.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is concise, with two sentences that directly state the tool's purpose and a key parameter format, no unnecessary words.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a tool with 7 parameters and async behavior, the description lacks explanation of essential parameters (qasm, backend_name) and does not specify output schema details, making it incomplete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Only the 'observable' parameter's format is described; the remaining 6 parameters (qasm, backend_name, shots, etc.) have no explanation despite 0% schema description coverage, leaving significant gaps.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool submits an expectation-estimation task, specifies the observable format, and tells the agent to fetch results with get_task_result_tool, distinguishing it from sibling tools like sample_tool.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description mentions using get_task_result_tool for results, implying the submission-only role, but does not provide explicit when-to-use or when-not-to-use guidance compared to other sibling tools like sample_tool.

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

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