get_knowledge_base
Retrieve detailed information about a specific knowledge base by providing its unique ID.
Instructions
Get knowledge base details
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| kb_id | Yes | Knowledge base ID |
Retrieve detailed information about a specific knowledge base by providing its unique ID.
Get knowledge base details
| Name | Required | Description | Default |
|---|---|---|---|
| kb_id | Yes | Knowledge base ID |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden of behavioral disclosure. It only says 'Get knowledge base details' without explaining any side effects, return format, required permissions, or whether the operation is read-only. This is minimal disclosure beyond what the name implies.
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 concise sentence with no fluff, front-loading the key action and object. It is not verbose, but it could be slightly more informative without becoming unwieldy, such as specifying the scope of 'details'.
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?
For a simple read tool with one parameter and no output schema, the description is incomplete. It fails to disambiguate from sibling tools like 'get_knowledge', and does not explain what 'details' includes. An agent may not know when to use this tool or what to expect in the response.
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 schema covers the only parameter 'kb_id' with a description 'Knowledge base ID', providing 100% schema description coverage. The description adds no additional meaning about the parameter, so the baseline score of 3 is appropriate.
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' and resource 'knowledge base details', indicating a read operation on a knowledge base. However, it does not distinguish this from the sibling tool 'get_knowledge', which may cause confusion about which tool to use.
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?
There is no guidance on when to use this tool versus alternatives like 'get_knowledge' or 'list_knowledge_bases'. The description provides no context about typical use cases, prerequisites, or scenarios where another tool would be more appropriate.
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/mwe-support/weknora-mcp-dispatch'
If you have feedback or need assistance with the MCP directory API, please join our Discord server