list_dashboard_revisions
Retrieve the revision history for a specific Metabase dashboard by providing its dashboard ID.
Instructions
List revision history for a dashboard in Metabase
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| input | Yes |
Retrieve the revision history for a specific Metabase dashboard by providing its dashboard ID.
List revision history for a dashboard in Metabase
| Name | Required | Description | Default |
|---|---|---|---|
| input | Yes |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are present, so the description carries full burden. It only says 'List revision history' but does not describe output format, pagination, limits, ordering, or any side effects. For a read-only tool, this is minimal.
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 sentence, no fluff, but it is too brief for a tool lacking annotations. It front-loads the action but omits critical details, making it minimally adequate.
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?
Given no output schema and no annotations, the description should compensate by explaining what the revision history contains (e.g., timestamps, users). It fails to do so, leaving the agent without important context.
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?
Schema description coverage is 0%, yet the description adds no additional meaning for the 'dashboard_id' parameter beyond its schema description. It does not explain how to obtain the ID or any constraints (e.g., only valid dashboard IDs).
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 clearly states the verb 'List' and the resource 'revision history for a dashboard', with context 'in Metabase'. It is specific enough to distinguish from sibling tools like 'list_revisions' (generic) and 'get_entity_revision' (single revision), as it scopes to dashboards.
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 (e.g., 'get_dashboard' for current state, 'list_revisions' for all revisions). No prerequisites or usage context provided beyond the parameter.
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