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hardware-tooling-mcp
by Pheem49

check_prerequisites

Verify host readiness for hardware tooling: checks OS serial permissions, embedded toolchains, and audio utilities, then returns actionable install and configuration recommendations.

Instructions

Run a full host readiness & prerequisite check for hardware tooling.

Checks:

  1. OS & Serial port permissions (e.g. Linux 'dialout' / 'uucp' / 'plugdev' group membership).

  2. Embedded toolchains (arduino-cli, platformio, esp-idf, esptool, openocd, avrdude, dfu-util, picotool) with install hints.

  3. Host OS & Audio utilities (lsof, arecord, aplay, wpctl, pactl, ffmpeg). Returns actionable recommendations so the AI can guide the user if anything is missing.

Input Schema

NameRequiredDescriptionDefault

No arguments

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A3.7/5.0
Behavior3/5

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

With no annotations, the description must carry the behavioral burden, and it does list the exact checks performed plus the intent of returning install hints and recommendations. It never states that the tool is read-only/non-mutating, whether it requires no elevated privileges, or how slow a full host sweep may be — meaningful gaps for a tool that shells out to many utilities.

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 purpose is front-loaded in the first sentence and the remaining detail is a numbered list of exactly what is checked, with no filler. The parenthetical utility and group names are high-value specifics rather than padding.

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-parameter diagnostic with an output schema (so return shape needn't be explained), the description covers scope and intent well. The only missing piece an agent would want is the safety/cost profile — that it makes no changes and may take a while — plus a note on how it relates to check_toolchains.

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 and the schema is empty, so there is no parameter meaning to add; baseline 4 applies. The description correctly offers no parameter discussion and instead describes the fixed set of checks.

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 scope ('Run a full host readiness & prerequisite check for hardware tooling') and enumerates the three inspection areas, so the agent knows exactly what the tool does. It does not, however, distinguish itself from the sibling check_toolchains, which clearly overlaps with check area #2 (embedded toolchains).

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 only implied: the closing line about returning 'actionable recommendations so the AI can guide the user if anything is missing' suggests diagnostic/troubleshooting use. There is no explicit when-to-use statement, no when-not-to-use, and no pointer to check_toolchains for a narrower toolchain-only check.

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