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Pantheon-Security

NotebookLM MCP Server (Security Hardened)

Cleanup Data

cleanup_data
DestructiveIdempotent

Remove all NotebookLM MCP data files across 8 categories including installations, caches, logs, and browser profiles. Shows preview before deletion for safe cleanup and troubleshooting.

Instructions

ULTRATHINK Deep Cleanup - Scans entire system for ALL NotebookLM MCP data files across 8 categories. Always runs in deep mode, shows categorized preview before deletion.

⚠️ CRITICAL: Close ALL Chrome/Chromium instances BEFORE running this tool! Open browsers can prevent cleanup and cause issues.

Categories scanned:

  1. Legacy Installation (notebooklm-mcp-nodejs) - Old paths with -nodejs suffix

  2. Current Installation (notebooklm-mcp) - Active data, browser profiles, library

  3. NPM/NPX Cache - Cached installations from npx

  4. Claude CLI MCP Logs - MCP server logs from Claude CLI

  5. Temporary Backups - Backup directories in system temp

  6. Claude Projects Cache - Project-specific cache (optional)

  7. Editor Logs (Cursor/VSCode) - MCP logs from code editors (optional)

  8. Trash Files - Deleted notebooklm files in system trash (optional)

Works cross-platform (Linux, Windows, macOS). Safe by design: shows detailed preview before deletion, requires explicit confirmation.

LIBRARY PRESERVATION: Set preserve_library=true to keep your notebook library.json file while cleaning everything else.

RECOMMENDED WORKFLOW for fresh start:

  1. Ask user to close ALL Chrome/Chromium instances

  2. Run cleanup_data(confirm=false, preserve_library=true) to preview

  3. Run cleanup_data(confirm=true, preserve_library=true) to execute

  4. Run setup_auth or re_auth for fresh browser session

Use cases: Clean reinstall, troubleshooting auth issues, removing all traces before uninstall, cleaning old browser sessions and installation data.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
confirmYesConfirmation flag. Tool shows preview first, then user confirms deletion. Set to true only after user has reviewed the preview and explicitly confirmed.
preserve_libraryNoPreserve library.json file during cleanup. Default: false. Set to true to keep your notebook library while deleting everything else (browser data, caches, logs).
Behavior5/5

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

While annotations already indicate destructiveHint=true and idempotentHint=true, the description adds significant behavioral context beyond annotations: the critical browser-closing requirement, cross-platform compatibility, safety mechanisms (preview before deletion, explicit confirmation), library preservation option, and detailed workflow guidance. No contradiction with annotations exists.

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

Conciseness4/5

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

The description is well-structured with clear sections (warning, categories, platform info, preservation option, workflow, use cases). While comprehensive, some sentences could be more concise (e.g., the category list is detailed but necessary). The critical information is front-loaded with the warning and purpose statement.

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?

For a destructive tool with no output schema, the description provides complete context: clear purpose, detailed behavioral guidance, parameter usage examples, platform compatibility, safety mechanisms, prerequisites, and specific use cases. It compensates for the lack of output schema by explaining what happens during execution (preview then deletion).

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?

With 100% schema description coverage, the baseline is 3. The description adds meaningful context about parameter usage: it explains the two-step confirmation workflow, provides specific recommended values (preserve_library=true), and clarifies the library preservation behavior. However, it doesn't add syntax or format details beyond what the schema already documents.

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's purpose: scanning and cleaning NotebookLM MCP data files across 8 specific categories. It uses specific verbs ('scans entire system', 'shows categorized preview before deletion') and distinguishes itself from sibling tools by focusing on data cleanup rather than notebook/source management, authentication, or content generation.

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

Usage Guidelines5/5

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

The description provides explicit usage guidelines including when to use ('Clean reinstall, troubleshooting auth issues, removing all traces before uninstall'), prerequisites ('Close ALL Chrome/Chromium instances BEFORE running'), a recommended workflow with specific parameter values, and clear alternatives (preserve_library=true option). It also distinguishes when NOT to use it (when browsers are open).

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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