tengu_copilot_decision_review
REVIEW A TRACKED DECISION. Pass the decision_id returned by decision_track. FIRM re-fetches the same verdict shape (ticker_full) and computes a structured DELTA against the original snapshot. Returns thesis_status in {intact, weakening, broken, n/a} based on the score delta projected into the use...
This record as markdown: /tools/tengu-mcp/tengu-copilot-decision-review.md
What tengu_copilot_decision_review does on Tengu
AI agents call tengu_copilot_decision_review to retrieve information from Tengu without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
| Parameter | Type | Required | Description |
|---|---|---|---|
decision_id | string | Yes | Path parameter 'decision_id' (required). |
Parameters from the server's own tool schema.
Why tengu_copilot_decision_review is rated Low
Even though tengu_copilot_decision_review only reads data, uncontrolled read access leaks sensitive information and racks up API costs: an agent caught in a retry loop can make thousands of calls a minute without anyone noticing.
Attacks that exploit this kind of access
The rule that runs tengu_copilot_decision_review safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Tengu, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For tengu_copilot_decision_review, this is the rule to start with:
tengu_copilot_decision_review is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Tengu, apply this rule, and every tengu_copilot_decision_review call is checked against it from then on.
Questions about tengu_copilot_decision_review
REVIEW A TRACKED DECISION. Pass the decision_id returned by decision_track. FIRM re-fetches the same verdict shape (ticker_full) and computes a structured DELTA against the original snapshot. Returns thesis_status in {intact, weakening, broken, n/a} based on the score delta projected into the user's side direction. Includes a narrative the chat can render verbatim. Returns 404 if the decision expired (90-day TTL) or was never recorded. Use this for the 'your AAPL position you opened Tuesday is up X% — thesis is tracking' callback shape. It is categorised as a Read tool in the Tengu MCP Server, which means it retrieves data without modifying state.
tengu_copilot_decision_review accepts 1 parameter: decision_id. Required: decision_id. The full parameter table on this page comes from the server's own tool schema.
Register the Tengu MCP server in PolicyLayer and add a rule for tengu_copilot_decision_review: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Tengu. Nothing to install.
tengu_copilot_decision_review is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the tengu_copilot_decision_review rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the PolicyLayer policy for tengu_copilot_decision_review. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
tengu_copilot_decision_review is provided by the Tengu MCP server (Hlobo-dev/tengu-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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