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content-engine-mcp

content-engine-mcp

by DevMandalia

get_setup

Reads config.yaml and a completeness checklist to verify local content pipeline setup before drafting, approving, or sending content.

Instructions

Read config.yaml plus a completeness checklist.

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_setup"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

B3.3/5.0
Behavior3/5

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

No annotations are supplied, so the description carries the full behavioral burden. 'Read' does communicate a safe, non-mutating operation and the phrase names what comes back, but there is nothing about permissions, whether defaults are filled in, or how the checklist is structured.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

A single short sentence that is entirely front-loaded and free of filler. It is arguably a touch terse for a tool with no other documentation, but nothing is wasted.

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?

With no output schema, the description must explain the return value, and it only gestures at it: config.yaml contents plus an unnamed completeness checklist whose shape is unspecified. For a simple zero-parameter reader this is adequate but leaves the agent guessing what the checklist looks like.

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 takes zero parameters, so there is nothing for the description to disambiguate; the baseline of 4 applies. The description does not need to add parameter meaning.

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 names a concrete verb and resource ('Read config.yaml') and adds a secondary artifact ('completeness checklist'), so an agent knows exactly what it retrieves. It does not explicitly contrast with the setup_* siblings, but 'Read' versus 'setup_' implies the read/write split well enough.

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 explicit when-to-use or when-not-to-use guidance. The 'completeness checklist' hints that this should be called before running setup_* tools to see what is missing, but the agent has to infer that workflow from the noun phrase alone.

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