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wtf-amnn

customer-support-mcp

by wtf-amnn

get_ticket_details_tool

Retrieve a ticket's complete context, including customer information and full comment history, to resolve support issues without switching tools.

Instructions

Get full context for a ticket: details, customer info, and all comments.

Use this instead of get_ticket_tool when you need the complete picture,
including the customer and the comment history.

Args:
    ticket_id: The ticket's numeric id.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
ticket_idYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A4.2/5.0
Behavior3/5

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

No annotations are provided, so the description must disclose behavioral traits. It states the tool 'gets' data and lists what is returned, which implies a read-only operation, but it does not explicitly state it has no side effects or mention authentication requirements. This is adequate but not rich.

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 extremely concise: two sentences plus a parameter line. The purpose is front-loaded, and every sentence earns its place. No filler or repetition.

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?

For a single-parameter read tool with an output schema, the description covers purpose, usage, and the parameter. It also mentions the content of the response (details, customer, comments). It omits explicit statements about side effects or error cases, but these are unlikely to be critical for a simple GET operation. It is mostly complete, with minor gaps.

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 0%, so the description must compensate. The line 'ticket_id: The ticket's numeric id' adds minimal value—it restates the type (integer) and the property name. It does not provide additional context like where the ID comes from or any constraints, but it is a clear and correct description.

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 the tool retrieves full ticket context (details, customer, comments) and explicitly contrasts it with the sibling get_ticket_tool, making its unique purpose unmistakable.

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?

It provides explicit when-to-use guidance: 'Use this instead of get_ticket_tool when you need the complete picture, including the customer and the comment history.' This directly tells an agent when to select this tool over a close alternative.

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