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MCP Workbench MCP Server

MCP Workbench MCP Server

by raeseoklee
OverviewSchemaSourceRelated ServersDiscussionsAdmin
TypeScript
Local

run_spec

Run YAML test specs against an MCP server to validate functionality. Provide inline spec text or a file path for automated testing and result retrieval.

Instructions

Run a YAML test spec against an MCP server and return results. Provide either specText (inline YAML) or specPath (path to a file). At least one is required.

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": "run_spec"
  }
}

Input Schema

NameRequiredDescriptionDefault
specTextNoInline YAML spec content to run
specPathNoPath to a YAML spec file to run
timeoutMsNoTimeout in milliseconds (default: 30000)

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • removedInput schema / properties / headers
      Removed value: -{
-  "additionalProperties": {
-    "type": "string"
-  },
-  "description": "HTTP headers (for future use — headers typically come from the spec itself)",
-  "type": "object"
-}
  2. First observedv0.1.0

TDQS

A3.7/5.0
Behavior2/5

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

No annotations are provided, so the description must fully disclose behavior. It mentions 'return results' but does not specify output format, side effects, or safety profile. Important behavioral details are missing.

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?

Two efficient sentences: first states purpose, second clarifies parameter usage. No wasted words.

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 no annotations or output schema, the description is minimal but covers the core purpose and parameter constraints. It lacks broader context like expected output, error handling, or integration with 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?

Schema description coverage is 100%, so baseline is 3. The description adds value by clarifying mutual exclusivity ('either specText...or specPath') and the requirement ('At least one is required'), which is not in the schema.

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 'Run a YAML test spec against an MCP server and return results,' providing a specific verb and resource. It distinguishes from sibling tools (explain_failure, generate_spec, inspect_server) by focusing on execution.

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 description notes that at least one of specText or specPath is required, but lacks explicit guidance on when to use this tool versus siblings or when not to use it. The context is implied by the tool's name and sibling differentiation.

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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