Start an AVA --watch process and stream output via getWatchChanges.
AI agents invoke tdd_start_watch to trigger actions in Promethean OS 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.
This tool triggers execution of an external process (AVA test runner in watch mode) whose behavior and side effects depend on the test suite being monitored. While the primary intent is testing rather than arbitrary command execution, it still executes code and can trigger cascading effects through the test pipeline.
From the tool's definition Tool description states 'Start an AVA --watch process' which launches an external process that continuously monitors and executes tests. AVA is a test runner that executes arbitrary code.
Attacks that exploit this kind of access
Start an AVA --watch process and stream output via getWatchChanges. It is categorised as a Execute tool in the Promethean OS MCP MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Promethean OS MCP server in PolicyLayer and add a rule for tdd_start_watch: 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 Promethean OS MCP. Nothing to install.
tdd_start_watch 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 tdd_start_watch 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 tdd_start_watch. 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.
tdd_start_watch is provided by the Promethean OS MCP server (octave-commons/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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