coding_loop_start
Give an agent an objective and let it work on it autonomously, on the server. Returns a run id immediately — poll status with coding_loop_status and live work events with coding_loop_trace; the run keeps going after this call returns and after you disconnect. Durable and budgeted: its spend is dr...
This record as markdown: /tools/io-github-proagentstore-platform/coding-loop-start.md
What coding_loop_start does on ProAgentStore
AI agents invoke coding_loop_start to trigger actions in ProAgentStore. 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 coding_loop_start is rated High
Triggers autonomous agent code execution on server with persistent effects; severe if agent objectives are malicious.
From the tool's definition agent work autonomously on server, drives coding agent, durable budgeted
Attacks that exploit this kind of access
The rule that runs coding_loop_start safely
PolicyLayer is an MCP gateway: it sits between your AI agents and ProAgentStore, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For coding_loop_start, this is the rule to start with:
coding_loop_start 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 ProAgentStore, apply this rule, and every coding_loop_start call is checked against it from then on.
Questions about coding_loop_start
Give an agent an objective and let it work on it autonomously, on the server. Returns a run id immediately — poll status with coding_loop_status and live work events with coding_loop_trace; the run keeps going after this call returns and after you disconnect. Durable and budgeted: its spend is drawn from a pool and stop_instance_loop / coding_loop_stop can end it. What it drives depends on the agent — a coding agent. It is categorised as a Execute tool in the ProAgentStore MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the ProAgentStore MCP server in PolicyLayer and add a rule for coding_loop_start: 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 ProAgentStore. Nothing to install.
coding_loop_start 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 coding_loop_start 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 coding_loop_start. 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.
coding_loop_start is provided by the ProAgentStore MCP server (https://mcp.proagentstore.online/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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