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ToolchainConductor MCP

ToolchainConductor MCP

by johannschiffer
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Local

get_toolchain_status

Check compiler readiness and supported target architectures before invoking builds, so AI coding agents avoid missing toolchains.

Instructions

Get quick summary of compiler readiness and supported target architectures.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "get_toolchain_status"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

A3.5/5.0
Behavior3/5

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

No annotations are provided, so the description must carry the behavioral burden. 'Get' implies a read-only operation and 'quick summary' suggests a lightweight response, but the description does not explicitly state side-effect safety, permissions, freshness, or response format.

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?

A single efficient sentence that front-loads the main purpose and adds only relevant scope details. Every word earns its place.

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

Completeness4/5

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

For a zero-parameter status tool with no output schema, the description gives enough context to call it correctly and indicates what the summary will cover. It could be slightly more complete by hinting at the response shape or freshness, but no critical information is missing.

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

Parameters4/5

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

The tool has zero parameters and an empty input schema, so the baseline score is 4. The description does not need to explain arguments, and it appropriately focuses on the summary content.

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 has a clear verb ('Get') and resource ('toolchain status'), and specifies the summary covers compiler readiness and supported target architectures. It is distinguishable from parse_compiler_errors and run_isolated_build, but it does not explicitly differentiate itself from the sibling detect_toolchains.

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?

The phrase 'quick summary' hints at a lightweight status check, but there is no explicit guidance on when to use this tool versus detect_toolchains or other siblings. No conditions, exclusions, or alternatives are 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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