MCP server for forecasting sales pipeline deal outcomes and quarterly revenue projections
This server has severe definition quality issues. Tool definitions are minimal and lack critical structure. execute_skill_action has no visible input schema in the source code. forecast_outcomes has a partial schema visible in the description but no formal JSON Schema definition in the code. Both tools have extremely brief descriptions (under 100 chars) that fail to explain WHEN to use them, WHAT they return, or HOW they differ. No error handling guidance, no parameter validation rules, no output schema documentation. The server appears to be a stub implementation rather than a production-ready MCP server.
Execute skill action for sales pipeline deal outcome forecasting
Forecast sales pipeline deal outcomes and quarterly revenue projections based on deal history data
Both tool descriptions are under 100 characters and lack WHAT/WHEN/WHY context. These fail to guide LLM selection.
forecast_outcomes schema is inferred from description text, not formally defined in code. No JSON Schema visible.
No output schema documented for either tool. LLMs cannot plan downstream calls or extract fields without knowing return structure.
No error handling, validation rules, or recovery guidance. Errors will be raw exceptions with no actionable next steps for the LLM.
| Scored | Grade | Overall | Spec posture | Rubric |
|---|---|---|---|---|
| 2026-09-23 | F | 25 | 2026-07-28+ | v2 |