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sd-api-mcp

sd-api-mcp

by mcaimi
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Hybrid

system_info

Retrieve GPU, dtype, model cache, and job queue statistics to monitor system status.

Instructions

Get system information including GPU device, dtype, model cache stats, and job queue stats.

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": "system_info"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Output Schema

NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A3.5/5.0
Behavior3/5

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

With no annotations, the description carries the burden of behavioral disclosure. The word 'Get' implies a read-only operation and the response categories are listed, but there is no explicit statement about side effects, permissions, or failure behavior. This is adequate for a simple info endpoint but not richly transparent.

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?

One sentence, front-loaded with the operation and resource, then a compact list of content areas. Every word adds information; no filler or redundancy.

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 parameterless tool with an output schema, the description does not need to explain return values, and it correctly identifies the main response categories. It is slightly incomplete only in that it doesn't provide routing guidance among the many sibling tools.

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 input schema has zero parameters, so there is nothing for the description to document. A 0-parameter tool gets a baseline of 4 because parameter semantics are trivially satisfied.

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 clear verb-resource pair ('Get system information') and enumerates specific content areas: GPU device, dtype, model cache stats, and job queue stats. This gives enough detail to tell it apart from generic health or job-list siblings, though it never names an alternative explicitly.

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?

There is no statement about when to choose system_info instead of the many siblings such as health_check, list_jobs, get_job_status, or list_models. The description only states what the tool returns, leaving the agent to infer the appropriate use case.

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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