Log one AI command usage.
AI agents use log_command_tool to create or update resources in Mcp Commands — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Mcp Commands environment.
This tool writes a new log entry to the PostgreSQL database recording an AI command usage. It is a straightforward write/create operation with no destructive, executable, or financial implications. Misuse risk is low since it only adds tracking records.
From the tool's definition 'Log one AI command usage' — creates a new record in the database tracking command history
Attacks that exploit this kind of access
Log one AI command usage. It is categorised as a Write tool in the Mcp Commands MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Mcp Commands MCP server in PolicyLayer and add a rule for log_command_tool: 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 Commands. Nothing to install.
log_command_tool 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_command_tool 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_command_tool. 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_command_tool is provided by the Mcp Commands MCP server (puemmth/mcp-commands). 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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