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CW-Codewalnut

Metabase MCP Server

update_metabase_collection

Modify Metabase collection properties including name, color, and parent collection to organize business intelligence assets effectively.

Instructions

Update an existing Metabase collection.

Args: collection_id (int): ID of the collection to update. name (str, optional): New name. color (str, optional): New color. parent_id (int, optional): New parent collection ID.

Returns: Dict[str, Any]: Updated collection metadata.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
collection_idYes
nameNo
colorNo
parent_idNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It mentions 'update an existing collection' which implies mutation, but doesn't cover permissions needed, whether changes are reversible, error handling, or rate limits. This leaves significant gaps for a mutation tool.

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 well-structured and front-loaded with the core purpose, followed by organized sections for Args and Returns. Every sentence adds value without redundancy, making it efficient and easy to parse.

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

Completeness3/5

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

Given the tool's complexity (mutation with 4 parameters) and no annotations, the description is moderately complete. It covers parameters and return type, but lacks behavioral details like side effects or error cases. The presence of an output schema reduces the need to explain return values, but more context would help.

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?

Schema description coverage is 0%, but the description compensates by listing all parameters with brief explanations (e.g., 'ID of the collection to update', 'New name'). It clarifies that collection_id is required and others are optional, adding meaningful context beyond the bare schema.

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 clearly states the verb 'update' and resource 'Metabase collection', making the purpose evident. However, it doesn't differentiate from sibling tools like update_metabase_card or update_metabase_dashboard, which follow the same pattern for different resources.

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 on when to use this tool versus alternatives. For example, it doesn't mention prerequisites like needing an existing collection ID or how it differs from create_metabase_collection. The description only states what it does, not when to use it.

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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