get_dataset
Retrieve dataset metadata by numeric ID to access detailed information about the dataset.
Instructions
Get dataset metadata by numeric ID.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| dataset_id | Yes |
Retrieve dataset metadata by numeric ID to access detailed information about the dataset.
Get dataset metadata by numeric ID.
| Name | Required | Description | Default |
|---|---|---|---|
| dataset_id | Yes |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description must disclose safety and side effects. It only says 'Get', implying read-only, but does not mention return structure, error behavior, or authorization requirements.
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?
One clear, front-loaded sentence. Every word contributes, though it may be too brief to convey necessary context.
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?
For a tool with no output schema and no annotations, the description is insufficient. It omits what the returned metadata includes, error cases, and any preconditions.
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 has one integer parameter with no description (0% coverage). The phrase 'by numeric ID' adds no semantics beyond the schema's type definition; it does not explain how to obtain the ID or expected format.
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?
Clearly states it retrieves dataset metadata using a numeric ID. This distinguishes it from sibling tools like list_datasets (which lists) and update/refresh tools.
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 on when to use this tool versus alternatives like list_datasets or get_dashboard_datasets. The description only states what it does, not the appropriate context.
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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