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List Custom Field Values

list_custom_field_values
Read-onlyIdempotent

Retrieve available values for a custom field in Allure TestOps. Filter by search query, global scope, or test case search with pagination and sorting.

Instructions

List available values for a custom field.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pageNoZero-based page index.
sizeNoNumber of items per page.
sortNoOptional sort criteria, e.g. ['name,asc', 'id,desc']
queryNoOptional search query to filter values.
project_idNoOptional override for the default Project ID.
var_globalNoOptional filter for global values.
output_formatNoOutput format: 'json' (default) or 'plain'.
custom_field_idNoProject-scoped custom field ID to list values for.
test_case_searchNoOptional test case search filter to match values in test cases.
custom_field_nameNoCustom field name to resolve when custom_field_id is not provided.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
pageNo
sizeNo
itemsNoEntity-specific collection entries.
totalNo
total_pagesNo
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 tool's safety profile is clear. The description does not add behavioral context beyond these annotations, but also does not contradict them. It mentions listing but not pagination or filtering specifics, which are covered by the schema.

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 a single, concise sentence with no wasted words. It is front-loaded and directly states the purpose.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With an output schema present and full schema coverage, the description is minimally viable but could provide more context about pagination, filtering, or the typical return format. It does not explain the nature of 'available values' further.

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 schema already documents all 10 parameters with descriptions. The tool description adds no additional parameter-level meaning, meeting the baseline for high coverage.

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 action (list) and the resource (available values for a custom field). It effectively distinguishes itself from sibling tools like get_custom_fields which list fields themselves, and create/update/delete custom field values.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides no guidance on when to use this tool versus alternatives, such as when to list values versus create or update them. No context about prerequisites or typical use cases is given.

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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