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notebook_query_status

Check the status of an asynchronous notebook query and retrieve the result once completed. Poll this tool to get progress updates or the final output.

Instructions

Check the status of an async notebook query started with notebook_query_start.

Returns the query result when completed, or current status if still in progress. Poll this tool every few seconds until status is 'completed' or 'error'.

Args: query_id: The query ID returned by notebook_query_start

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
query_idYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

Discloses asynchronous behavior, polling requirement, and that it returns result when completed or status otherwise. With no annotations, this is sufficient for a simple status check.

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?

Concise, front-loaded with purpose, and includes a parameter description. Every sentence adds value with no redundancy.

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 existence of an output schema, the description adequately covers usage and expected behavior. Minimal gaps for a polling tool.

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 single parameter 'query_id' is described as 'The query ID returned by notebook_query_start', adding necessary context beyond the schema's type-only definition.

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?

Description clearly states it checks status of an async query started by notebook_query_start. It specifies verb 'check', resource 'status', and the relationship to sibling tool.

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?

Explicitly instructs to poll every few seconds until status is 'completed' or 'error', providing clear usage guidance. Does not mention when not to use, but context is clear.

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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