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uarlouski

TestRail MCP Server

get_case_fields

Read-onlyIdempotent

Retrieve the field schema for test cases in a specific TestRail project, including field types and dropdown options. Provide a project_id to get only relevant fields.

Instructions

Get the field schema for test cases for a specific project. You should normally provide project_id to get fields applicable to your project. If you truly need all fields across all projects, you may omit project_id, but this is rarely what you want. Returns available fields with their types and options (for dropdown fields).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
project_idNoThe project ID to get fields for. This is the primary way to use this tool, as it returns only the fields relevant to your current project. If omitted, returns all fields across all projects.
Behavior5/5

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

Annotations already indicate read-only, idempotent, non-destructive behavior. Description adds what the response contains: fields, types, and options for dropdowns, going beyond annotations.

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?

Four sentences, no filler, front-loaded with the main purpose. Every sentence adds value.

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?

Despite no output schema, description sufficiently explains return content. One parameter is well-documented. Tool is simple and 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 description coverage is 100%, so baseline is 3. Description repeats the parameter guidance but adds minimal extra meaning beyond what the schema already provides.

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?

Description clearly states the tool retrieves the field schema for test cases for a specific project. This distinguishes it from sibling tools like get_cases (which returns test case data) and other '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?

Provides explicit guidance: 'normally provide project_id' but allows omission for rare cases. Does not directly name alternatives but gives clear context for when to use with/without project_id.

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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