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kirchik95

TestOps MCP Server

by kirchik95

list-project-custom-fields

Retrieve custom fields configured for a project, returning their IDs and names for use in AQL filters or value queries.

Instructions

List custom fields configured for a project (e.g. Component, Priority, Team, Story). Use the returned IDs with list-custom-field-values and the names in AQL cf["Name"] filters.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pageNoPage number (0-based)
sizeNoPage size
projectIdYesProject ID (required)
Behavior3/5

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

No annotations are provided, placing full burden on the description. It discloses that the tool lists custom fields and gives examples, but does not mention behavioral traits such as pagination, performance, or side effects. The description is adequate but not exhaustive.

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 that cover purpose and usage guidance without any fluff. Every sentence earns its place.

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?

Considering the absence of output schema and annotations, the description provides sufficient context: it identifies the tool's function, provides examples, and links to sibling tools. Minor gaps exist (e.g., not stating the output shape), but it is complete enough for a list 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 coverage is 100% with clear descriptions for all three parameters. The description adds value by explaining the purpose of the output but does not significantly enhance parameter understanding beyond the schema. 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 the verb 'list' and the resource 'custom fields configured for a project', with examples like Component, Priority, Team, Story. It is easily distinguishable from sibling tools like list-custom-field-values and list-projects.

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 clear context on when to use (list custom fields for a project) and how to use the returned data (IDs for list-custom-field-values, names for AQL filters). While it does not explicitly exclude alternative uses, the guidance is sufficient.

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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