Causara Economic Control
Server Details
Economic exposure and control decisions for autonomous AI actions in Shadow Mode.
- Status
- Healthy
- Uptime
- 100.0% over the last 24 hours
- Last Tested
- Transport
- Streamable HTTP · MCP 2025-11-25
- URL
- ChatGPT
- –
- Claude
- –
TDQS
Scored across 3 tools
Each tool has a clearly distinct purpose: evaluate an action, retrieve model metadata, and normalize business context. The descriptions explicitly clarify what each tool does not do, eliminating overlap.
All tool names follow a consistent snake_case verb_noun pattern (evaluate_agent_action, get_control_model, normalize_business_context). The convention is predictable and readable.
Three tools are well-scoped for a focused economic-control engine. Each tool serves a distinct, necessary function without redundancy.
The core workflow (normalize context, check model, evaluate action) is fully covered. However, the mentioned Shadow risk ledger has no corresponding read/query tool, which is a minor gap.
Available Tools
3 toolsevaluate_agent_actionEvaluate agent economic exposureBInspect
Run a proposed autonomous AI action through Causara's frozen Shadow Mode economic-control engine. Returns downstream dependency path, economic exposure, potential loss, confidence, and an ALLOW/REVIEW/ESCALATE/BLOCK recommendation. Causara does not execute or block the proposed business action. The evaluation is recorded in Causara's Shadow risk ledger.
Inputs: event (required), business_context (required), data_source.
get_control_modelGet Causara control modelARead-onlyIdempotentInspect
Return the live Causara V2.0 Shadow Mode model metadata, including supported action routes and frozen validation status. Use this before evaluation when you need to check whether an action type is supported.
Inputs: no named parameters.
normalize_business_contextNormalize business contextARead-onlyIdempotentInspect
Validate and normalize a structured business-context CSV into Causara's canonical economic context. This does not evaluate or execute an AI action. Use it when source data is available as a field/value or single-row CSV export.
Inputs: csv (required), filename.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
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