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lake_status

Get a summary of the Parquet lake covering cells, files, rows, bytes, storage limit and usage, plus recent evictions to track capacity.

Instructions

Parquet lake summary: cells, files, rows, bytes, storage limit and usage, recent evictions.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

With no annotations, the description carries the burden, but the word 'summary' communicates a read-only status operation and the metric list, including 'recent evictions', gives useful context about what state is reported. It does not spell out auth or rate-limit details, but those are not obviously needed for a zero-parameter status call.

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?

A single, front-loaded sentence with a colon-separated list. Every term adds information and there is no filler or repetition of schema data.

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?

For a zero-parameter tool with no output schema, the description is largely sufficient: it names all key returned categories and makes invocation unambiguous. It could be more explicit about the exact return structure, but that is a minor gap given the tool's simplicity.

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?

The input schema has zero parameters and schema description coverage is 100%, so the description has no parameter burden to carry. The baseline for a 0-parameter tool is met; the description's output-oriented detail complements the empty schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly identifies the resource ('Parquet lake') and the nature of the result ('summary'), and lists specific metrics returned: cells, files, rows, bytes, storage limit/usage, and recent evictions. It lacks an explicit verb like 'get' or 'retrieve', and it does not explicitly differentiate itself from sibling ui_lake_summary, so it stops short of a 5.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no guidance on when to use this tool versus alternatives such as ui_lake_summary, lake_load_cells, or job_status. No exclusions, preconditions, or selection criteria are provided; the only implied context is the word 'summary'.

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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