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notebooklm_validate_metadata

Validate metadata against a required schema to ensure data integrity and prevent processing errors in NotebookLM workflows.

Instructions

Validate metadata against schema

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
metadataYesMetadata to validate
Behavior2/5

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

No annotations are provided, so the description must carry the burden of explaining behavior. 'Validate' implies a read-only check, but the description does not disclose whether invalid metadata returns a boolean, throws an error, or reports detailed validation failures. Side-effect and error behavior are completely unspecified.

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?

The description is a single, four-word sentence with no filler or redundancy. It front-loads the core action and is maximally economical for the basic purpose it conveys.

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?

For a tool with no output schema and no annotations, the description leaves return values, error behavior, and the exact validation schema unspecified. It is enough to guess the general purpose but not enough to fully anticipate the tool's behavior after invocation.

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

Parameters3/5

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

The only parameter, metadata, is already well described in the schema as 'Metadata to validate'. The description adds no additional meaning about allowed shape, required keys, or validation rules. With 100% schema coverage, the baseline of 3 is appropriate.

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 states a specific action ('validate') applied to metadata against a schema, which distinguishes it from the sibling get/set/query metadata tools. However, it adds little beyond the tool name and does not specify which schema is used or what validation entails.

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 is provided about when to use this tool versus alternatives like notebooklm_set_metadata or notebooklm_query_metadata. It does not mention validating before setting metadata, exclusions, or any workflow 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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