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List Test Layer Schemas

list_test_layer_schemas
Read-onlyIdempotent

Retrieve test layer schemas for a project to see how custom field keys map to test layers, helping you understand which test layer is assigned for each custom field value.

Instructions

List test layer schemas for a project.

Test layer schemas map custom field keys to test layers within a project. They determine which test layer is assigned when a specific custom field value is used.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pageNoPage number (0-based). Default is 0.
sizeNoPage size (max 100). Default is 100.
project_idNoAllure TestOps project ID to fetch test layer schemas from.
output_formatNoOutput format: 'json' (default) or 'plain'.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
pageNo
sizeNo
itemsNoEntity-specific collection entries.
totalNo
total_pagesNo
Behavior4/5

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

Annotations already declare readOnlyHint and idempotentHint, indicating a safe read operation. The description adds context about the mapping between custom fields and test layers, which is valuable beyond the annotations. No contradictions.

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 very concise, using only two sentences to convey the purpose and a brief explanation. Every sentence adds value with no extraneous words.

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 the presence of an output schema and comprehensive parameter descriptions, the description covers the essential aspects. It explains the concept of test layer schemas, which adds completeness. Missing explicit usage guidelines slightly reduces the score.

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 detailed parameter descriptions. The description does not add further meaning to the parameters beyond what the schema already provides, so it meets the baseline.

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 lists test layer schemas for a project, with an explanation of what these schemas are. It distinguishes itself from sibling tools like 'create_test_layer_schema' or 'list_test_layers' by focusing on schemas that map custom fields to layers.

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

Usage Guidelines3/5

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

The description implies usage for retrieving mapping information but does not explicitly state when to use this tool instead of alternatives like 'list_test_layers' or provide context such as prerequisites or typical workflow scenarios.

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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