get_knowledge_statistics
Retrieve statistics about the knowledge graph to gain insights into codebase structure and patterns.
Instructions
Get statistics about the knowledge graph.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Retrieve statistics about the knowledge graph to gain insights into codebase structure and patterns.
Get statistics about the knowledge graph.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations exist, so the description bears full responsibility. It only states the action with no mention of side effects, auth requirements, or what 'statistics' entails. Minimal information.
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, but it lacks detail necessary for adequate understanding. Every sentence should earn its place, and while not verbose, it is under-informative.
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?
The tool is simple with no parameters or output schema, but the description fails to explain what statistics are returned, how to use them, or any context. Incomplete for effective use.
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 tool has no parameters, so baseline is 3 per rules. The description does not add any parameter meaning beyond the empty schema.
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 'Get statistics about the knowledge graph' clearly states the verb and resource, distinguishing it from siblings that focus on specific entities, patterns, or relationships. However, it does not specify which statistics are provided.
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 provides no guidance on when to use this tool versus alternatives like query_patterns or get_entity_details. No context for decision-making.
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/mcpflow/sourcesage'
If you have feedback or need assistance with the MCP directory API, please join our Discord server