datalake_get
Retrieve details of a specific Data Lake by providing its name.
Instructions
Get a Data Lake by name
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| dataLakeName | Yes | ||
| options | No | Optional parameters |
Retrieve details of a specific Data Lake by providing its name.
Get a Data Lake by name
| Name | Required | Description | Default |
|---|---|---|---|
| dataLakeName | Yes | ||
| options | No | Optional parameters |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations provided; description does not disclose behavioral traits such as read-only nature, error behavior, or return format.
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?
Single sentence is efficient and front-loaded, but could include more detail without losing conciseness.
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?
Lacks details on error handling, return value, and prerequisites; not complete given no output schema and simple params.
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 50% with 'options' described only as 'Optional parameters'; description adds no extra parameter meaning beyond the schema.
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 clearly states it retrieves a Data Lake by name, distinguishing it from sibling tools like datalake_get_all.
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; missing context like 'use when you have the name; otherwise use get_all'.
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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