nexo_kg_stats
Retrieve detailed statistics on your knowledge graph, including entity counts, relationship types, and density measures.
Instructions
Knowledge graph statistics
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Retrieve detailed statistics on your knowledge graph, including entity counts, relationship types, and density measures.
Knowledge graph statistics
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description fails to disclose behavioral traits such as read-only nature, return format, or any side effects; it only hints at statistics without specifics.
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?
Extremely concise but under-specified; the description is too short to provide necessary clarity, sacrificing informativeness for brevity.
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 no output schema and no parameters, the description should detail what statistics are returned; it is incomplete and leaves significant gaps for the agent.
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 and schema coverage is 100%, so the baseline is 4. However, the description adds minimal meaning beyond the schema (only 'statistics'), which is not sufficiently informative.
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 'Knowledge graph statistics' is vague; it does not specify what kind of statistics (e.g., node/edge counts, density) and does not differentiate from sibling tools like nexo_kg_query or nexo_kg_neighbors.
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 whatsoever on when to use this tool versus alternatives, leaving the agent without criteria for selection.
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/wazionapps/nexo'
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