update_glossary
Update an existing glossary in OpenMetadata by providing the glossary ID and new data.
Instructions
Update an existing glossary in OpenMetadata
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| glossary_id | Yes | ||
| glossary_data | Yes |
Update an existing glossary in OpenMetadata by providing the glossary ID and new data.
Update an existing glossary in OpenMetadata
| Name | Required | Description | Default |
|---|---|---|---|
| glossary_id | Yes | ||
| glossary_data | Yes |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description must disclose behavioral traits. It only says 'Update' without explaining whether it overwrites or merges, what permissions are needed, or the effects on related entities. This is insufficient for a mutation tool.
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 concise (one sentence), but it lacks necessary detail. While front-loaded, it does not earn its place as it provides minimal information that could be expanded.
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 complexity of an object parameter and no output schema or annotations, the description is severely incomplete. It does not cover how to structure the update data or what the response will be.
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 beyond the parameter names. 'glossary_data' is an object with no explanation of its required structure or fields, leaving the agent without critical information.
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 'Update' and the resource 'existing glossary' in 'OpenMetadata'. This distinguishes it from sibling tools like create_glossary or delete_glossary, providing a specific purpose.
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 given on when to use this tool vs alternatives (e.g., create_glossary for a new glossary, or get_glossary for reading). It does not mention prerequisites or when not to use it.
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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