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manish-coder-1007

metabase-mcp-navi

add_card_to_dashboard

Add an existing card to a dashboard, specifying its row, column, width, and height.

Instructions

Add an existing card to a dashboard.

Args: dashboard_id: ID of the dashboard card_id: ID of the card to add row: Row position (default: 0) col: Column position (default: 0, max: 17) size_x: Width in grid units (default: 8, max: 18) size_y: Height in grid units (default: 6)

Returns: Success message with dashcard details

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dashboard_idYes
card_idYes
rowNo
colNo
size_xNo
size_yNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
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 only states the action and parameters, without explaining side effects (e.g., whether adding a card twice duplicates it), permission requirements, or idempotency. The return type is mentioned but not detailed.

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 Args and Returns sections, front-loading the purpose. It is concise, though some parameter descriptions could be more succinct while retaining clarity.

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 has 6 parameters and an output schema exists, the description covers parameter defaults and constraints and mentions the return type. However, it lacks usage context and behavioral details, making it only moderately complete.

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?

Despite 0% schema coverage, the description adds value by specifying default values and maximum constraints for col, size_x, and size_y, which are not in the schema. However, parameter meanings like 'row: Row position' are tautological, leaving room for more semantic clarity.

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 'Add an existing card to a dashboard,' which is a specific verb+resource pair. It distinguishes from sibling tools like create_card and remove_card_from_dashboard, making the purpose unambiguous.

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?

The description provides no guidance on when to use this tool versus alternatives. It does not mention prerequisites, such as the need for the card and dashboard to exist, or when not to use it (e.g., if the card is already on the dashboard).

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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