add_dataset
Add a new dataset to a TestRail project by specifying the project ID and dataset name, with an optional description.
Instructions
Add a new dataset
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| name | Yes | ||
| project_id | Yes | ||
| description | No |
Add a new dataset to a TestRail project by specifying the project ID and dataset name, with an optional description.
Add a new dataset
| Name | Required | Description | Default |
|---|---|---|---|
| name | Yes | ||
| project_id | Yes | ||
| description | No |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden, but it only states the basic action. It does not disclose important behavioral details such as idempotency, overwrite behavior, permission requirements, or return values.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
At one sentence, it is extremely concise but under-specified. The description lacks necessary context, making it more of a placeholder than an effective tool definition.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given no output schema, no annotations, and 3 parameters, the description is severely incomplete. It provides no information on success/failure, error handling, or relationships to sibling tools.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0%, and the description adds no information about the three parameters (name, project_id, description). The agent must infer meaning solely from parameter names and types.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description 'Add a new dataset' clearly states the action and resource, but it is minimal and does not differentiate from sibling tools like add_case or add_project.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when to use this tool versus alternatives. There is no mention of prerequisites, when-not-to-use, or sibling tool distinctions.
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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