update_dashboard
Update an existing OpenMetadata dashboard by providing its ID and new data.
Instructions
Update an existing dashboard in OpenMetadata
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| dashboard_id | Yes | ||
| dashboard_data | Yes |
Update an existing OpenMetadata dashboard by providing its ID and new data.
Update an existing dashboard in OpenMetadata
| Name | Required | Description | Default |
|---|---|---|---|
| dashboard_id | Yes | ||
| dashboard_data | Yes |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description must fully disclose behavior. It only states 'update' without explaining the mutation semantics (e.g., partial or full update), required permissions, or side effects. This is insufficient for an agent to understand the behavioral impact.
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, which is concise but lacks necessary detail. It front-loads the action and resource, but omits critical usage and parameter guidance.
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 the lack of annotations and output schema, and the presence of a complex nested parameter, the description is completely inadequate. An agent would not know how to construct the dashboard_data object or understand the return behavior.
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 zero descriptions for parameters, and the tool description adds no parameter information. The dashboard_data parameter is an object with undefined structure, leaving the agent with no guidance on required fields or format. This is a critical gap.
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 action (update) and resource (existing dashboard) with the platform (OpenMetadata). Sibling tools like create_dashboard and get_dashboard indicate different operations, so this description distinguishes itself appropriately.
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?
The description does not provide any context on when to use this tool over others like create_dashboard or other update tools. There is no indication of required permissions, or scenarios where this tool is appropriate versus alternatives.
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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curl -X GET 'https://glama.ai/api/mcp/v1/servers/yangkyeongmo/mcp-server-openmetadata'
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