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ask_cluster

Query a knowledge cluster by specifying a question, memory path, or NotebookLM source. Get concise answers with adjustable detail and source options.

Instructions

Ask a cluster using the local memory path or NotebookLM source.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
clusterNo
questionNo
sourceNolocal
detailNogist
headlessNo
timeout_secNo
max_charsNo
force_regenerateNo
modeNoask
cluster_slugNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

No annotations provided, so description must disclose behavior. Only mentions sources; no details on side effects, rate limits, or read-only nature. Lacks transparency for a tool with 10 parameters.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Single sentence is concise but insufficiently informative for a complex tool. Lacks structure and front-loading of key information.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Tool has 10 parameters, no annotations, and no schema descriptions. Description is too brief to provide adequate context. Output schema exists but does not compensate for missing input semantics.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, yet description only vaguely references source. None of the 10 parameters (e.g., cluster, question, detail, mode) are explained. Adds no meaning beyond parameter names and types.

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

Purpose3/5

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

Describes tool as asking a cluster with two possible sources, but what 'ask' entails (query vs generate response) is vague. Distinguishes from sibling ask_cluster_notebooklm only implicitly.

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?

No guidance on when to use this tool vs alternatives like ask_cluster_notebooklm. No mention of prerequisites or 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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