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sanjeev7e

notebooklm-mcp-rpc

by sanjeev7e

Set default output language (GLOBAL)

language_set
Idempotent

Set the global output language for generating artifacts in NotebookLM. This applies to every notebook in your account.

Instructions

Set the GLOBAL default output language for artifact generation. Affects every notebook in the account.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
codeYesBCP-47-style language code, e.g. 'en', 'ja', 'zh_Hans'.
Behavior4/5

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

Annotations already provide readOnlyHint=false (write), idempotentHint=true, and openWorldHint=true. The description adds that the change is GLOBAL and affects every notebook, which is valuable behavioral context beyond the annotations. It could mention persistence or permissions, but the combination is sufficient.

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 two sentences, front-loaded with the core action, and contains no unnecessary words. It is highly concise and structured effectively.

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

Completeness5/5

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

Given the tool simplicity (one parameter, no output schema) and the rich annotations, the description is complete. It explains the purpose, scope, and effect, leaving no apparent gaps for an agent to misunderstand.

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?

Schema description coverage is 100% for the single parameter 'code', which includes a description and example. The tool description does not add any additional semantic information beyond what the schema provides, so it meets the baseline.

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?

The description clearly states the tool sets the GLOBAL default output language for artifact generation and that it affects every notebook. This is specific and distinguishes it from sibling tool language_get (which reads the current setting) and any potential per-notebook language tools.

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?

The description indicates the global scope and impact on all notebooks, implying use when changing the default for the entire account. It does not explicitly state when not to use or mention alternatives, but the context is clear given the sibling set.

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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