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Get Custom Fields

get_custom_fields
Read-onlyIdempotent

Retrieve available custom fields and their valid values for a project. Use this to ensure valid field names and values before creating or updating test cases.

Instructions

Get available custom fields and their allowed values for the project.

Use this tool to discover what custom fields are available (e.g., 'Layer', 'Priority') and what values are valid for them (e.g., 'UI', 'High'). This is essential before creating or updating test cases to ensure you use valid field names and values.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameNoOptional case-insensitive name filter to search for specific custom fields.
project_idNoAllure TestOps project ID to fetch custom fields from.
output_formatNoOutput format: 'json' (default) or 'plain'.
Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is fully covered. The description adds that the tool returns field names and allowed values, which is useful but not extensive behavioral detail.

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 usage note. The primary action is front-loaded, and every sentence adds value. No redundant information.

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 adequately conveys that the tool returns custom field names and their allowed values. It explains the tool's role in the workflow and covers the main parameters. Minor missing details like output structure or pagination are acceptable for a simple read 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 description coverage is 100%, so the baseline is 3. The description does not add significant meaning beyond the schema; it mentions the 'name' filter and output format implicitly but does not elaborate on parameter behavior or constraints.

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 it retrieves available custom fields and their allowed values for a project. It provides specific examples (e.g., 'Layer', 'Priority') and distinguishes from sibling tools like 'get_test_case_custom_fields' by focusing on project-wide fields.

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 explicitly advises using this tool before creating or updating test cases to ensure valid field names and values. While it does not mention alternatives or when not to use it, the context is clear and directly tied to a key workflow.

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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