MCP Server Generator

get_implementation_guide

Retrieve a step-by-step guide for implementing MCP servers, from setup to integration. Optionally specify a step for focused guidance.

Instructions

Get step-by-step guide for implementing MCP servers

Args: step: Optional specific step (e.g., "setup", "implementation", "testing", "deployment", "integration"). If None, returns overview of all steps.

Returns: JSON string with implementation guide

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_implementation_guide"
  }
}

Input Schema

Name	Required	Description	Default
`step`	No

Output Schema

Name	Required	Description	Default
`result`	Yes

Schema Changelog

Changes observed during successful MCP inspections.

First observedv0.1.0May 29, 2026

TDQS

A3.7/5.0

Behavior3/5

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

Without annotations, the description carries full burden. It indicates a read operation returning a JSON string, with a parameter to filter by step. However, it does not disclose any authentication needs or rate limits, leaving room for ambiguity.

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 very concise, using a clear docstring style with Args and Returns sections. Every sentence adds value, and there is no redundant or extraneous text.

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?

Given the low complexity (1 optional param, no nested objects) and presence of an output schema, the description adequately covers the tool's behavior. It could mention the structure of the returned JSON, but the output schema likely covers that.

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

Parameters5/5

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

With 0% schema coverage, the description fully compensates by explaining the step parameter, listing concrete example values (setup, implementation, etc.), and clarifying that None returns an overview. This adds significant meaning beyond the schema.

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 clearly states the tool returns a step-by-step guide for implementing MCP servers. It is distinct from siblings like get_best_practices and get_tool_info, though it does not explicitly contrast them.

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 description explains the optional step parameter but provides no guidance on when to use this tool versus alternatives, no prerequisites, and no context about limitations or expected use cases.

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

Deploy Server