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testmo_batch_create_cases

Batch create test cases in Testmo with automatic batching, allowing unlimited cases per request while requiring fields like name, folder, priority, type, and creator.

Instructions

Create any number of test cases, automatically handling batching (100 per request).

Each case object MUST include these fields or the API will silently reject it:

  • name: Test case title

  • folder_id: Target folder ID (0 for root)

  • custom_priority: Priority ID (52=Critical, 1=High, 2=Medium, 3=Low)

  • custom_type: Type ID (59=Functional, 64=Acceptance, 55=Security)

  • custom_creator: Creator ID (51=AI Generated)

Optional: template_id, state_id, tags, issues, configurations, custom_feature, etc.

Args: project_id: The project ID. cases: Array of test case objects (unlimited, auto-batched).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
project_idYes
casesYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

No annotations are provided, so the description carries the full burden. It discloses critical behaviors: automatic batching (100 per request) and that missing required fields cause silent rejection. This is significant transparency for a batch creation tool.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is well-structured with a leading sentence, bulleted required fields, optional fields, and an Args line. It is front-loaded with the key batching feature. Every sentence adds value, though it could be slightly shortened.

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 (not shown but noted), the description does not need to detail return values. It covers batching, required fields, and potential rejection. With no annotations, it provides a solid amount of context for successful usage.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 0%, but the description adds essential meaning: project_id role, cases as array of objects with required fields (name, folder_id, custom_*, etc.) and optional fields. It compensates well for the loose 'additionalProperties' schema by detailing the expected object structure.

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 ('Create any number of test cases') and the resource ('test cases'), with the key feature of automatic batching. It distinguishes itself from siblings like testmo_create_case (single case) and testmo_batch_delete_cases (delete).

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 provides clear context on when to use the tool (for creating multiple cases with auto-batching) and lists required fields for each case object. However, it does not explicitly state when not to use it or compare it to alternatives like the single create tool.

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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