Netography MCP Server providing access to Netography Fusion API for network intelligence and security data
The server has 3 explicitly defined tools. Two tools (get_detection_model_list, get_detection_model_details) have minimal or no input schemas and lack meaningful parameter descriptions. The nql_guide tool is read-only reference material. All three lack meaningful output documentation. Parameter naming and descriptions are sparse, and error handling is absent. The server relies heavily on OpenAPI auto-generation for many tools, which provides better structure than hand-written tools, but the three custom tools demonstrate poor definition quality.
Get the details of a specific detection model.
Get the list of available detection models.
A guide to NQL (Netography Query Language). This should be used whenever it is neccesary to create a query or search in Netography Fusion. It also provides guidance in the event of a failed query.
get_detection_model_list has ZERO input schema, no fields are declared, making it impossible for LLMs to understand what (if anything) can be parameterized.
get_detection_model_details accepts 'model_name' parameter but lacks any description or constraint on the parameter. LLMs cannot infer valid values without a description like 'The exact name of the detection model to retrieve details for'.
No output schemas or return type documentation for any of the three custom tools. LLMs cannot plan downstream tool calls or extract the right data without knowing what fields to expect.
No error handling or recovery guidance. If get_detection_model_details receives an invalid model name, no indication of what to do next (e.g., 'Call get_detection_model_list to see available models').
Inferred effective spec: <=2025-11-25.
| Scored | Grade | Overall | Spec posture | Rubric |
|---|---|---|---|---|
| 2026-09-22 | F | 46 | <=2025-11-25 | v2 |
| 2026-03-09 | F | 30 | - | v1 |
Tool descriptions are vague and lack context on WHEN to use them. 'Get the list of available detection models' does not explain use cases or dependencies. Best practice: 'Lists all available detection models for Intel analysis. Call this first if you need to find a specific model.'