Skip to main content
Glama
rlowndes9

Zendesk MCP Server

by rlowndes9

list_webhook_invocations

Read-onlyIdempotent

Check webhook delivery history, including HTTP status, timing, and outcome, to diagnose failures and slow responses.

Instructions

Returns the delivery history for one webhook, every fire with http_status, request/response timing, and outcome. Default limit: 100; pass cursor, fields, filter. The right tool for "is this webhook actually working?", failures and slow responses surface here. For instance-wide configuration changes (not webhook deliveries), use list_audit_logs.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMax items to return. Default 100. The full corpus is fetched and cached server-side; this only limits what the response carries.
cursorNoOpaque pagination token from a previous response. Slices the next page from the cached corpus. Stale cursors (older than the cache TTL) auto-reset to offset 0 and set cursor_invalidated: true.
fieldsNoWhitelist of field names. Overrides the default projection. Use to opt into extra fields (e.g. ["id","title","active","position","category_id","updated_at"]) without going fully verbose.
filterNoStructured filter applied to the cached corpus before slicing. Supported keys: active (bool), category_id (number/string), title_contains (string, case-insensitive), updated_since (ISO timestamp). Unsupported keys are ignored with a note in the response.
refreshNoBypass cache and re-fetch from Zendesk
verboseNoReturn full invocation objects instead of the thin projection
instanceNoOverride the sticky instance for this call
webhook_idYesWebhook ID whose invocation history to fetch
Behavior4/5

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

Annotations already declare read-only and idempotent. Description adds that it returns http_status, timing, and outcome, which gives insight into the output behavior beyond the annotations. No contradictions.

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: first states purpose and key parameters, second emphasizes diagnostic use, third gives alternative tool. No redundancy, every sentence adds value.

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, the description explains the return fields (http_status, timing, outcome). However, it doesn't mention that the response includes a list or pagination details, but the parameter descriptions cover cursor. Almost complete.

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%, so each parameter already has a description. The description only names a few parameters (limit, cursor, fields, filter) without adding new meaning beyond the schema. Baseline 3 is appropriate.

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?

Description clearly states it returns delivery history for one webhook with specific fields. It distinguishes itself from list_audit_logs, but not from all other list_* tools, so not a perfect 5.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicitly says 'The right tool for "is this webhook actually working?"' and provides a when-not alternative: 'For instance-wide configuration changes, use list_audit_logs.' This offers clear guidance on when to use and when to avoid.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/rlowndes9/zendesk-mcp-server'

If you have feedback or need assistance with the MCP directory API, please join our Discord server