get_glossary_by_name
Fetch detailed information about a specific glossary by name from OpenMetadata.
Instructions
Get details of a specific glossary by name
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| name | Yes | ||
| fields | No |
Fetch detailed information about a specific glossary by name from OpenMetadata.
Get details of a specific glossary 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 exist, and the description fails to disclose behavioral traits such as read-only nature, error handling (e.g., missing name), or required permissions. Only the action 'get details' is mentioned.
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, clear sentence with no redundant information, achieving maximum conciseness.
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?
Without an output schema, the description does not explain what 'details' are returned, nor does it clarify the optional 'fields' parameter. The tool's response is completely unspecified.
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%, and the description adds no meaning to the parameters 'name' and 'fields'. It neither clarifies what 'name' refers to nor how 'fields' controls the output.
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 it retrieves a specific glossary by name, which matches the tool name. However, it does not differentiate from the sibling 'get_glossary' tool, which may use a different identifier.
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 is provided on when to use this tool versus alternatives like 'get_glossary' or 'list_glossaries'. The description omits any context for selection.
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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