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Manage notebook tags by adding or removing tags, listing tagged notebooks, and selecting notebooks relevant to a query using tag matching.

Instructions

Manage notebook tags and find relevant notebooks by tag matching.

Actions:

  • add: Add tags to a notebook for smart selection

  • remove: Remove tags from a notebook

  • list: List all tagged notebooks with their tags

  • select: Find notebooks relevant to a query using tag matching

Args: action: Operation to perform (add, remove, list, select) notebook_id: Notebook UUID (required for add, remove) tags: Comma-separated tags (required for add, remove; e.g. "ai,research,llm") notebook_title: Optional display title (for add) query: Search query (required for select; e.g. "ai mcp" or "ai,mcp")

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tagsNo
queryNo
actionYes
notebook_idNo
notebook_titleNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

With no annotations, the description carries the burden of behavioral disclosure. It explains the four actions and their parameter dependencies, but does not mention side effects, permissions, or limits. It is adequate but could be more explicit about behavior beyond the action descriptions.

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 concise with bullet points, no redundant sentences, and front-loads the overall purpose. Every sentence adds value.

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 has 5 parameters, 0% schema coverage, no annotations, and an output schema exists, the description is complete. It covers all actions and parameter constraints, making it sufficient for an agent to invoke correctly.

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

Parameters5/5

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

Schema description coverage is 0%, so the description must compensate. It fully explains each parameter: action (operation), notebook_id (required for add/remove), tags (format and requirement), notebook_title (optional), query (required for select). Examples are provided, adding meaning beyond the raw schema.

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: 'Manage notebook tags and find relevant notebooks by tag matching.' It lists four specific actions (add, remove, list, select) with distinct roles, distinguishing it from sibling tools like notebook_list or notebook_query.

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 implies when to use each action via parameter requirements, but it does not explicitly state when not to use this tool or compare it to alternatives like notebook_list for listing notebooks without tag matching.

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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