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solver_status

Check whether a specific study has been solved by providing its study tag, returning a clear status report.

Instructions

Report whether a study has been solved.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
study_tagYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Install Server

TDQS

B3.3/5.0
Behavior3/5

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

No annotations are provided, so the description carries the behavioral burden. The word 'Report' implies a read-only, non-mutating query, but the description does not disclose behavior for unknown study tags, whether the status is cached, or whether it can return in-progress states.

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 a single, front-loaded sentence with no filler or redundant information. Every word contributes to the core purpose.

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?

The tool is simple and has an output schema, so the return contract is covered elsewhere. However, the description omits any guidance on valid study_tag values, prerequisites, or relationship to solver lifecycle steps, leaving some inference required.

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?

Schema description coverage is 0%, and the description never mentions study_tag or explains how to specify the study. The only meaning comes from the parameter name and title, which is minimal compensation for the lack of explicit documentation.

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?

The description uses a specific verb ('Report') and a specific question ('whether a study has been solved'), making the tool's purpose immediately clear. It is distinct in intent from siblings like run_solver and evaluate, though it does not explicitly name those alternatives.

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?

No explicit guidance is given about when to use this tool versus alternatives like run_solver or evaluate. The context implies it is for checking solver status after running a study, but this is left to inference rather than stated.

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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