check_consequences

Get events associated with an agent action, or all recent events

Server Loopsense jarvisassistantux/loopsense
Category Read
Risk class Low
Parameters 00 required

What check_consequences does on Loopsense

AI agents call check_consequences to retrieve information from Loopsense without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Why check_consequences needs a policy

This tool retrieves and queries event information without creating, modifying, deleting, or executing any operations. It provides visibility into past outcomes as described in the server's purpose of giving 'real-time visibility into CI results, deployments, test outcomes' — a monitoring and feedback function. The blast radius of misuse is minimal since it only exposes information that already exists.

From the tool's definition Tool name 'check_consequences' and description 'Get events associated with an agent action, or all recent events' indicate data retrieval with no modification.

Questions about check_consequences

What does the check_consequences tool do? +

Get events associated with an agent action, or all recent events. It is categorised as a Read tool in the Loopsense MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on check_consequences? +

Register the Loopsense MCP server in PolicyLayer and add a rule for check_consequences: 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 Loopsense. Nothing to install.

What risk level is check_consequences? +

check_consequences is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit check_consequences? +

Yes. Add a rate_limit block to the check_consequences 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.

How do I block check_consequences completely? +

Set action: deny in the PolicyLayer policy for check_consequences. 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.

What MCP server provides check_consequences? +

check_consequences is provided by the Loopsense MCP server (jarvisassistantux/loopsense). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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