AI agents invoke local_mtr to trigger actions in Net. 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.
MTR is a network diagnostic tool that combines traceroute and ping by executing system-level commands. Based on the name and the server context (network engineering diagnostics), this tool likely runs a local MTR command, which constitutes executing an external operation. However, the empty description significantly lowers confidence.
From the tool's definition Tool name 'local_mtr' suggests running a local MTR (My Traceroute) network diagnostic command, but the description is empty and uninformative.
Attacks that exploit this kind of access
local_mtr. It is categorised as a Execute tool in the Net MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Net MCP server in PolicyLayer and add a rule for local_mtr: 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 Net. Nothing to install.
local_mtr 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 local_mtr 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 local_mtr. 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.
local_mtr is provided by the Net MCP server (steelcutoatmeal/net-mcp). 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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