Skip to main content
Glama
CLEARSY

Atelier B MCP Server

Official
by CLEARSY

atelierb_status

Check proof status for a B project or one of its components, showing which proofs are discharged and which are still pending.

Instructions

Get proof status of a component or entire project

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
project_nameYesName of the project
component_nameNoName of the component (optional, omit for global status)
Behavior2/5

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

With no annotations, the description carries the full burden of behavioral disclosure, but it only restates the function. It does not mention return format, potential side effects, or that the operation is read-only. While the verb 'get' implies a read, no additional behavioral traits are disclosed.

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, focused sentence that immediately communicates the tool's purpose. It contains no filler, front-loads the action, and is appropriately sized for the tool's simplicity.

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?

Given the tool's simplicity and complete schema, the description is minimally adequate. However, without an output schema, it does not explain what 'proof status' means or how the result is presented. This leaves some ambiguity for the agent about the expected return value.

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

Parameters3/5

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

The schema already describes both parameters with 100% coverage. The tool description adds no new semantic detail beyond what is in the schema; it merely paraphrases the component_name description. Since the baseline is 3 for full schema coverage, this is appropriate.

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 action ('Get') and the resource ('proof status') with a scope indication ('component or entire project'). This distinguishes it from sibling tools like atelierb_prove (which performs proofs) or atelierb_typecheck (which runs type checks). The purpose is unambiguous and specific.

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

Usage Guidelines2/5

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

No guidance is provided on when to use this tool versus alternatives. The description does not mention any prerequisites, exclusions, or why one would choose this over a sibling tool. The context is implied by the name but not explicitly stated.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/CLEARSY/atelierb-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server