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famousdrew

Zendesk MCP Server

by famousdrew

zendesk_search_by_field

Search Zendesk tickets using custom field name and value, with automatic field ID resolution and optional filters for status, priority, and date range.

Instructions

Search tickets by custom field name and value. Automatically resolves field names to IDs.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
field_nameYesField name/title to search by (case-insensitive partial match)
field_valueYesValue to match
statusNoFilter by status (open, pending, solved, closed)
priorityNoFilter by priority (low, normal, high, urgent)
created_afterNoFilter tickets created after this date (ISO format)
created_beforeNoFilter tickets created before this date (ISO format)
max_resultsNoMaximum results to return (default: 100)
Behavior2/5

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

No annotations exist, so the description must carry full behavioral disclosure. It only mentions automatic field name resolution, lacking details on read-only nature, error handling, pagination, or rate limits. This is minimal for a search tool with multiple parameters.

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, front-loading purpose and key behavior. Every sentence provides value with no redundant or extraneous information.

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

Completeness3/5

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

Given seven parameters and no output schema, the description does not cover return value behavior, sorting, or pagination. The automatic resolution note helps but leaves gaps in completeness for a moderately complex tool.

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 the parameters are well-documented there. The description adds no extra semantic value beyond summarizing the required parameters. 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 clearly states it searches tickets by custom field name and value, and automatically resolves field names to IDs. This verb+resource combination distinguishes it from siblings like zendesk_search (general search) and zendesk_search_by_brand (search by brand).

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 usage when searching by custom field, but does not explicitly state when to use this tool vs alternatives like zendesk_search or zendesk_search_by_brand. No 'when not' guidance is provided.

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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