stop_caido_service
Terminates a running Caido service process using its PID.
This record as markdown: /tools/halilkirazkaya-pentester-mcp/stop-caido-service.md
What stop_caido_service does on Pentester-MCP
AI agents invoke stop_caido_service to trigger actions in Pentester-MCP. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call: builds kicked off, notifications sent, workflows started.
Why stop_caido_service is rated High
This tool triggers an external operation (process termination) whose effects depend on the PID argument provided. While termination is somewhat reversible (the service can be restarted), it still represents active execution of system commands that disrupt running services. It does not fit Destructive (data is not permanently lost), but clearly exceeds Write (it's not creating/modifying data reversibly).
From the tool's definition Tool description states it 'Terminates a running Caido service process using its PID' — this executes a termination command with external operational effects (stopping a service).
Attacks that exploit this kind of access
The rule that runs stop_caido_service safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Pentester-MCP, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For stop_caido_service, this is the rule to start with:
stop_caido_service stays usable, but rate-capped: a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Pentester-MCP, apply this rule, and every stop_caido_service call is checked against it from then on.
Questions about stop_caido_service
Terminates a running Caido service process using its PID. It is categorised as a Execute tool in the Pentester-MCP MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Pentester MCP server in PolicyLayer and add a rule for stop_caido_service: 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 Pentester-MCP. Nothing to install.
stop_caido_service is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the stop_caido_service 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 stop_caido_service. 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.
stop_caido_service is provided by the Pentester MCP server (halilkirazkaya/pentester-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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