mcp

listSkillCategories

Read-onlyIdempotent

List skill categories

Returns paginated skill categories — how the business groups technician qualifications by trade or specialty (e.g. HVAC, plumbing, electrical) — ordered alphabetically.

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": "listSkillCategories"
  }
}

Input Schema

Name	Required	Description	Default
`page`	No	Page number (default: 1)
`limit`	No	Page size (default: 15, max: 1000)

Output Schema

Name	Required	Description
`data`	No
`errors`	No	Field-level validation details; present only for VALIDATION_ERROR responses.
`message`	No	Human-readable message ("Success" or an error description), localized via the X-Locale header.
`error_code`	No	0 on success; a stable string error code on failure (e.g. CUSTOMER_NOT_FOUND).

Schema Changelog

Changes observed during successful MCP inspections.

First observedOct 18, 2026

TDQS

A4.1/5.0

Behavior4/5

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

Annotations already establish readOnlyHint, idempotentHint, and destructiveHint, so the safety profile is covered. The description adds behavioral detail beyond those annotations by disclosing that results are paginated and ordered alphabetically, which is useful for an agent selecting and invoking the tool.

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 two sentences with no filler. The core action is front-loaded, and the parenthetical definition of 'skill categories' earns its place by clarifying the domain concept.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

This is a simple, low-complexity list operation with complete schema descriptions, rich annotations, and an output schema. The description covers the business meaning, pagination, and ordering, so nothing critical is missing for an agent to call it correctly.

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?

The input schema covers both parameters with clear descriptions (page number and page size, with defaults and max), giving 100% schema description coverage. The description adds no parameter-level meaning, so the 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?

The description uses a specific verb ('List') and resource ('skill categories'), then defines exactly what categories are: how the business groups technician qualifications by trade or specialty, with examples like HVAC, plumbing, and electrical. This framing clearly separates categories from sibling concepts like listSkills or listSkillsByCategory.

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?

The description implies when this tool is useful — when you need the business-defined trade or specialty groupings — but it does not explicitly state when to use it instead of sibling tools like listSkills or listSkillsByCategory. Usage context is present but exclusion/alternative guidance is left to inference.

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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