Log a one-liner summary of an action
AI agents use log_action_summary to create or update resources in Mcp Coordinator — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Mcp Coordinator environment.
This tool writes a log entry recording an action summary. It creates data (a log record) but does not delete, execute code, or involve finances. The blast radius is low since it only appends a summary string to a log.
From the tool's definition 'Log a one-liner summary of an action' — creates a log/audit record
Attacks that exploit this kind of access
Log a one-liner summary of an action. It is categorised as a Write tool in the Mcp Coordinator MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Mcp Coordinator MCP server in PolicyLayer and add a rule for log_action_summary: 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 Mcp Coordinator. Nothing to install.
log_action_summary 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_action_summary 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_action_summary. 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_action_summary is provided by the Mcp Coordinator MCP server (swoofer/mcp-coordinator). 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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