get_classification_by_name
Fetches full details of a classification identified by name from an OpenMetadata instance.
Instructions
Get details of a specific classification by name
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| name | Yes | ||
| fields | No |
Fetches full details of a classification identified by name from an OpenMetadata instance.
Get details of a specific classification by name
| Name | Required | Description | Default |
|---|---|---|---|
| name | Yes | ||
| fields | No |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations provided; description does not disclose behavioral details such as idempotency, error handling, permissions, or rate limits. Minimal transparency.
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?
Extremely concise (8 words) but lacks any structure such as grouping or examples. Being this brief may be a missed opportunity to add value.
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 annotations or output schema, description fails to convey what 'details' are returned or how to customize output. Not complete for an agent to fully understand 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?
Schema coverage is 0%: description does not mention or explain the 'fields' parameter. With no param descriptions, agent cannot infer how to use this optional parameter to select specific fields.
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?
Description clearly states verb 'Get', resource 'details of a specific classification', and method 'by name'. Differentiates from sibling 'get_classification' which likely uses ID. No ambiguity.
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 like 'get_classification' or 'list_classifications'. Does not mention prerequisites or context for effective use.
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/yangkyeongmo/mcp-server-openmetadata'
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