list_knowledge_services
Discover all available knowledge base services across enterprise domains including legal, HR, and compliance.
Instructions
List all available knowledge base services
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Discover all available knowledge base services across enterprise domains including legal, HR, and compliance.
List all available knowledge base services
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Without annotations, the description accurately indicates a read-only list operation. No additional behavioral details are necessary for this simple 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?
A single sentence that is concise and front-loaded, with no wasted words. It earns its place.
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 parameterless tool with no output schema, the description fully suffices. It tells the agent exactly what to expect.
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?
There are zero parameters, so the schema already covers all. The description adds no extra parameter information, but the baseline of 4 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 (list) and resource (knowledge base services), distinguishing it from sibling query tools. It is specific and unambiguous.
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?
The description implies usage for listing services before querying, but does not provide explicit when or when-not scenarios. Siblings are query tools, but no direct comparison is made.
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/ashishsantikari/case-study-mcp-server'
If you have feedback or need assistance with the MCP directory API, please join our Discord server