Log a decision event for an idea. This creates an audit trail entry. Event types: - created, updated: Lifecycle events - accepted, rejected, snoozed, expired: Decision outcomes - reopened: Reopen a closed idea - merged, superseded: Idea was consolidated - shipped: Feature was released - ticket_cr...
AI agents use log_decision to create or update resources in IdeaLift MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your IdeaLift MCP Server environment.
The tool writes a new audit trail/decision log entry for an idea, creating a record of lifecycle and decision events. It is a reversible write operation (adding a log entry) rather than destructive, and has no financial or execution implications. Misuse could corrupt decision history or misrepresent product decisions, giving it medium severity.
From the tool's definition Log a decision event for an idea. This creates an audit trail entry.
Attacks that exploit this kind of access
Log a decision event for an idea. This creates an audit trail entry. Event types: - created, updated: Lifecycle events - accepted, rejected, snoozed, expired: Decision outcomes - reopened: Reopen a closed idea - merged, superseded: Idea was consolidated - shipped: Feature was released - ticket_created, ticket_closed: External ticket lifecycle Closure categories (required for some events): - shipped, merged: Positive closures - deferred_resources, deferred_priority, deferred_dependency, deferred_timing: Deferrals - rejected_scope, rejected_alternative, rejected_invalid, rejected_duplicate: Rejections. It is categorised as a Write tool in the IdeaLift MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the IdeaLift MCP Server MCP server in PolicyLayer and add a rule for log_decision: 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 IdeaLift MCP Server. Nothing to install.
log_decision is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the log_decision 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 log_decision. 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.
log_decision is provided by the IdeaLift MCP Server MCP server (startvest-llc/idealift-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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