Skip to main content
Glama

读取本地 IsingQ 求解结果

isingq_solve_result_get
Read-onlyIdempotent

Retrieve locally saved QUBO solve status, results, and source info using a solve ID. It does not access the network or assert feasibility or optimality.

Instructions

读取本机保存的 QUBO-only 求解状态、结果与来源信息;不联网,不自动断言业务可行或全局最优。

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
solve_idYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
okYes工具调用是否成功
dataNo成功时返回的数据
errorNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.5.0

TDQS

B3.4/5.0
Behavior4/5

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

Annotations already declare readOnly, idempotent, non-destructive and closed-world, so the safety profile is covered. The description still adds real value beyond them: the explicit '不联网' confirmation and, more importantly, the caveat that the result does not assert business feasibility or global optimality — a semantic guardrail the annotations cannot express.

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

Conciseness4/5

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

A single dense sentence, front-loaded with verb and resource, then behavioral caveats. No filler, though the semicolon-packed clause about feasibility/optimality could be slightly easier to parse.

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

Completeness3/5

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

An output schema exists, so return-value explanation is not required, and annotations cover the safety profile. The gaps are the provenance/format of solve_id and what happens when a stored result is absent, which matter for correct invocation.

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?

There is one required parameter (solve_id) with 0% schema description coverage, and the description says nothing about its format or where it comes from (e.g., returned by isingq_solve_start/isingq_solve_poll). With low coverage the description is expected to compensate and does not.

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

Purpose4/5

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

States a concrete verb (读取) and a well-scoped resource (本机保存的求解状态、结果与来源信息), so an agent knows this retrieves a persisted solve rather than starting or advancing one. It does not name the sibling that is closest in function (isingq_solve_poll), so the distinction must be inferred from '本机保存的'.

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 phrase '读取本机保存的' plus '不联网' implies this is for already-persisted results as opposed to the networked polling tool, which is useful implied context. However, it never explicitly says when to choose this over isingq_solve_poll or isingq_solve_start, so the routing burden stays with the agent.

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