run_preview_embed_card_pivot_query
Execute a pivot query on a preview embedded card using an authentication token.
Instructions
Run a pivot query for a preview embedded card in Metabase
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| input | Yes |
Execute a pivot query on a preview embedded card using an authentication token.
Run a pivot query for a preview embedded card in Metabase
| Name | Required | Description | Default |
|---|---|---|---|
| input | Yes |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description must carry the full burden. It only says “run a pivot query” without disclosing side effects, authentication needs, rate limits, or whether it is read-only. The behavioral impact is unclear.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single 12-word sentence, which is efficient but omits critical details. It earns a 3 because it’s not verbose, but it sacrifices clarity for brevity.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The tool has a nested object parameter, no output schema, and many siblings. The description fails to explain what a “preview embedded card” is, what the token represents, or what the query returns. It is insufficient for proper usage.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has one parameter (input with a token), but schema coverage is 0% and the description does not explain the token’s purpose, format, or constraints. The description adds no value beyond the schema.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description states “Run a pivot query for a preview embedded card in Metabase,” which has a specific verb and resource. However, it does not differentiate from siblings like run_embed_card_pivot_query or run_preview_embed_dashboard_pivot_dashcard_query.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance on when to use this tool versus alternatives. Among many similar sibling tools, there is no mention of context, prerequisites, or exclusion criteria.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/takeokunn/metabase-mcp'
If you have feedback or need assistance with the MCP directory API, please join our Discord server