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tokenless-zendesk-mcp

by yutamago

Call a Zendesk API endpoint (read-only)

zendesk_request
Read-only

Execute read-only queries to any Zendesk REST API v2 endpoint for data not covered by dedicated tools, such as audits or satisfaction ratings.

Instructions

Make a read-only (GET) request to any Zendesk REST API v2 endpoint and return the parsed JSON. Use for anything the dedicated tools don't cover (audits, satisfaction ratings, organizations, users, ticket metrics, etc.). path may be a bare resource like 'tickets/123/audits' or a full '/api/v2/...' path. Pass query parameters via query. See https://developer.zendesk.com/api-reference/ for available endpoints.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pathYesAPI path, e.g. 'tickets/123/audits' or '/api/v2/users/me.json'.
queryNoOptional query parameters, e.g. { page: 2, per_page: 50 }.
Behavior3/5

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

Annotations already indicate read-only and open-world. Description adds that it returns parsed JSON and mentions the API reference. Does not contradict annotations. Lacks details on rate limits, error handling, or auth.

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?

Three sentences, each adding value: purpose, usage guidance, path details, and a reference link. Well-structured and front-loaded.

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?

Given no output schema, description explains return as parsed JSON. With openWorldHint, completeness is high. Could mention error handling or response structure, but not essential for a generic tool.

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?

Schema covers 100% of parameters. Description adds clarity: path can be bare or full, query parameters via query, with examples. Adds value beyond schema.

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?

Clearly states it makes read-only GET requests to Zendesk API, returning parsed JSON. Distinguishes from dedicated sibling tools by emphasizing it covers endpoints not handled by them.

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?

Explicitly says to use for anything dedicated tools don't cover, with examples. Does not explicitly state when not to use, but implication is clear. Could mention preferring dedicated tools when available.

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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