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WeTrack Enterprise MCP Server

by subbuyalla

wetrack_get_webhook_info

Retrieve setup documentation for the inbound email webhook endpoint that creates tickets automatically from incoming emails, ensuring correct configuration for Svix-compatible providers like Resend.

Instructions

Get information about the WeTrack inbound email webhook endpoint. This endpoint is called by Resend (or any Svix-compatible provider) when an inbound email is received and creates a ticket automatically.

Returns documentation about the webhook setup rather than calling the endpoint (which requires Svix signature headers from the provider).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

A4.5/5.0
Behavior4/5

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

With no annotations provided, the description carries the full behavioral burden. It does this well by stating that the tool returns documentation rather than invoking the endpoint and notes that direct invocation would require Svix signature headers. This effectively communicates a read-only, no-side-effect behavior, though it does not explicitly discuss WeTrack API authentication or other potential constraints.

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 three sentences with no wasted words. The first sentence states the core purpose, the second provides necessary domain context, and the third delivers the critical behavioral caveat about not calling the endpoint directly. Every sentence earns its place.

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?

For a no-parameter tool with an output schema, the description is fully sufficient: it states the resource, the domain context, and the important distinction between retrieving documentation and invoking the webhook. Nothing needed for an agent to decide whether to call this tool is missing.

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?

The tool has zero parameters and the schema already reflects this with an empty properties object, so there is nothing for the description to add. The baseline for a no-parameter tool is 4, and the description makes no contradictory or redundant parameter claims.

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 opens with a specific verb and resource: 'Get information about the WeTrack inbound email webhook endpoint.' It also adds distinct context by explaining the endpoint's role in inbound email-to-ticket creation, making it easy to distinguish from the many other wetrack_get_* tools.

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?

The description clearly explains what the tool is for and explicitly warns that it 'returns documentation about the webhook setup rather than calling the endpoint,' which prevents an agent from using it to trigger the webhook. It does not name specific sibling alternatives, but the usage context is clear enough for a tool with no direct sibling analog.

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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