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Mr-Lucasz

Conversational API Test MCP

by Mr-Lucasz

init_workspace

Create the .mcp/api/ folder, a runnable httpbin demo definition, an .env.mcp.local template, and the matching .gitignore entry for API testing. It skips existing files and requires confirmation.

Instructions

Create the starting structure in a project: the .mcp/api/ folder, a runnable demo definition (demo.yaml, against httpbin.org) when there is no definition yet, an .env.mcp.local template with commented examples, and the .gitignore line that keeps that file out of git. Never overwrites an existing file. Ask the user before calling it.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
withDemoNoAlso write `.mcp/api/demo.yaml`, a runnable definition against httpbin.org, when the folder has no definition yet.
workspaceRootNoAbsolute project path (optional when MCP_WORKSPACE_ROOT is set).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A4.1/5.0
Behavior4/5

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

With no annotations provided, the description carries the burden well: it discloses that it never overwrites existing files, that it mutates `.gitignore`, that `.env.mcp.local` contains commented examples, and that user confirmation is required. It stops short of describing the return value or any error behavior, but the destructive-safety profile is unusually well covered.

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?

The artifact list is front-loaded and the two safety sentences are short and high-value. The opening sentence is dense with parentheticals, but every element earns its place and nothing is padded.

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-required-parameter scaffold tool with no output schema, the description covers what is created, the overwrite policy, and the approval requirement. Only the return value and behavior on partial existing structure are unstated, which is a minor gap.

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

Parameters3/5

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

Schema description coverage is 100%, so both parameters are already documented. The description restates the conditional writing of `demo.yaml` and mentions the `MCP_WORKSPACE_ROOT` fallback indirectly, but adds no format or path syntax beyond the schema, so the baseline 3 applies.

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 gives a specific verb ('Create') and enumerates the exact artifacts produced: the `.mcp/api/` folder, `demo.yaml`, `.env.mcp.local`, and the `.gitignore` line. This distinguishes it clearly from siblings like `upsert_canonical_api_definition` or `import_curl`, which operate on existing definitions rather than bootstrapping a project.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

It states the operative condition ('when there is no definition yet') and imposes an explicit approval gate: 'Ask the user before calling it.' That is clear context for when to invoke it, though it never names an alternative sibling for the case where a definition already exists.

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