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EMC Regulations MCP Server

EMC Regulations MCP Server

by RFingAdam
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Remote

certification_matrix

Retrieve a certification requirements matrix for any product type across target markets, providing required certifications, timelines, modular approval options, and lab information.

Instructions

Get a certification requirements matrix for a product type across target markets. Returns required certifications, timelines, modular approval options, and lab requirements. This is the key advisor tool for answering 'what certifications do I need?'

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "product_type": "<product_type>"
    },
    "name": "certification_matrix"
  }
}

Input Schema

NameRequiredDescriptionDefault
product_typeYesProduct type
marketsNoTarget markets (e.g., ['us', 'ca', 'eu', 'jp']). Omit for all markets.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv0.2.0

TDQS

A4/5.0
Behavior3/5

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

No annotations are provided, so description carries full burden. It describes what the tool returns (certifications, timelines, modular approval options, lab requirements) but does not explicitly state that it is read-only, requires authentication, or has any side effects. Adequate but not fully transparent.

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?

Description is two sentences, front-loads the core functionality, and includes a clear purpose statement. Every sentence adds value with no redundancy or fluff.

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 simple query tool with 2 parameters and no output schema, the description adequately explains what is returned. It could optionally mention that markets are optional, but that is already in the schema. Overall, complete enough for an agent to use effectively.

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 coverage is 100% with clear descriptions for both parameters. The description adds no additional meaning beyond the schema (e.g., no details on how product_type enum values map to certifications). Baseline of 3 is appropriate.

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?

Description clearly states verb ('Get'), resource ('certification requirements matrix'), and scope ('for a product type across target markets'), and positions itself as the key advisor tool for answering certification questions. It distinguishes from siblings by focusing on a requirements matrix rather than individual standards or limits.

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?

Description explicitly says it is the key advisor tool for 'what certifications do I need?', providing a clear use case. It does not explicitly state when not to use it or name alternatives, but the purpose is clear enough to guide appropriate selection.

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

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