get_bot_by_name
Retrieve detailed information about a specific bot using its name within the OpenMetadata platform.
Instructions
Get details of a specific bot by name
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| name | Yes | ||
| fields | No |
Retrieve detailed information about a specific bot using its name within the OpenMetadata platform.
Get details of a specific bot 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 are provided, so the description carries the full burden. It states 'Get details' but doesn't disclose behavioral traits like whether this is a read-only operation, what permissions are required, how errors are handled, or the format of returned details. This leaves significant gaps for a tool with no annotation coverage.
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, efficient sentence with no wasted words. It's front-loaded with the core action and resource, making it easy to parse quickly.
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 (a retrieval tool with 2 parameters), no annotations, no output schema, and 0% schema description coverage, the description is incomplete. It lacks details on behavior, parameter meanings, return values, and usage context, making it inadequate for effective tool selection.
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%, so the schema provides no parameter descriptions. The description mentions 'by name', which hints at the 'name' parameter, but doesn't explain the 'fields' parameter or provide any additional semantic context beyond the basic schema. This fails to compensate for the low coverage.
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 ('Get details') and resource ('a specific bot by name'), making the purpose unambiguous. However, it doesn't differentiate from sibling tools like 'get_bot' or 'list_bots', which likely serve similar but distinct purposes.
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 such as 'get_bot' (which might retrieve by ID) or 'list_bots' (for multiple bots). The description implies usage for a single bot by name but offers no explicit context or exclusions.
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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