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acabala

apidog-tests-mcp

by acabala

create_test_case

Create a test case for an API endpoint by specifying endpoint ID, response ID, name, and path. Optionally add categories, tags, parameters, request body, and assertions.

Instructions

Create a test case for an API endpoint. Requires apiDetailId (from list_api_endpoints) and responseId. Use list_test_case_categories and list_test_case_tags first to get valid categoryId and tagIds.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
authNoAuth configuration (e.g. bearer token)
nameYesTest case name
pathYesAPI path (e.g. /v2/organisations/{organisationId}/users)
tagIdsNoTag IDs to apply
categoryIdNoTest case category ID
parametersNoRequest parameters (query, header, cookie, path)
responseIdYesThe response definition ID for this endpoint
apiDetailIdYesThe API endpoint ID to create a test case for
requestBodyNoRequest body configuration
preProcessorsNoPre-processors / pre-request scripts
postProcessorsNoPost-processors / assertions
Behavior3/5

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

No annotations provided, so description carries burden. It discloses creation and prerequisites but omits side effects, permissions, or idempotency. Adequate but not rich.

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?

Concise two-sentence description, front-loaded with verb and resource, no redundant words. Efficiently communicates core purpose and prerequisites.

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 11 parameters, no output schema, and no annotations, the description covers essential workflow and prerequisites. Missing return value details but sufficient for agent to invoke correctly.

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%, so baseline is 3. Description adds workflow context for apiDetailId, responseId, and categoryId/tagIds but does not provide significant meaning beyond schema descriptions.

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 tool creates a test case for an API endpoint, specifies required IDs, and distinguishes from sibling tools like update_test_case and delete_test_case.

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 context: requires apiDetailId and responseId, and recommends using list_test_case_categories and list_test_case_tags first. Lacks explicit when-not to use, but clear enough for selection.

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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