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Fredo QA Skills MCP Server

Fredo QA Skills MCP Server

by illicomedia

sync_workspace_skills

Detects the project stack and provisions matching QA skills and licenses into .agents/skills/, previewing changes by default and writing files only after confirmation.

Instructions

Auto-detects project stack and provisions matching QA skills and licenses into .agents/skills/. Requires user agreement: set confirm: true to write files; when false (default), returns a dry-run preview.

Input Schema

NameRequiredDescriptionDefault
skillsNoOptional list of skill IDs to install. If omitted, auto-detects from project stack.
confirmNoExplicit user confirmation to write files to disk. When false (default), returns a dry-run preview without modifying the filesystem.
license_keyNoOptional signed license file (path or JSON content) to use for this session before syncing
project_pathNoTarget project root directory (defaults to current working directory)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv3.0.1

TDQS

A3.8/5.0
Behavior4/5

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

With no annotations, the description carries the burden and does well: it discloses the write target (.agents/skills/), the safe dry-run default, and the explicit confirmation requirement before any filesystem mutation, plus that license provisioning is part of the operation. It still omits what happens to already-installed skills (overwrite/skip/merge) and whether license validation must succeed first.

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 sentences with no waste: the first establishes what the tool does and where it writes, the second front-loads the safety-critical confirmation behavior. Nothing is repeated or 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 mutation tool with no annotations and no output schema, the description covers the most important unknown: that writes are gated by confirm and default to a preview. Remaining gaps (idempotency, existing-skill handling, what the dry-run preview contains) are real but secondary.

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 all four parameters are already documented in the input schema. The description restates the confirm/confirm:false semantics rather than adding new meaning about skills, license_key, or project_path, so baseline 3 applies.

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?

States a specific verb and resource: auto-detects the project stack and provisions matching QA skills and licenses into .agents/skills/. It is clear what the tool produces and where it writes, but it never distinguishes itself from siblings like install_skill or prune_skills, so an agent must infer the difference.

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?

Usage is implied through the auto-detect behavior (omitting skills) and the confirm gate, but there is no explicit statement of when to choose this over install_skill, list_skills, or set_license_key, and no prerequisites are given.

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