Automatically fix code issues using self-healing capabilities
AI agents invoke auto_fix_code to trigger actions in Multi Agent Orchestrator 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 automatically modifies code, which involves both writing changes and potentially executing them to verify fixes. The 'self-healing' aspect implies autonomous operation without human review of each change, creating significant blast radius risk if it misidentifies issues or applies incorrect fixes to production code.
From the tool's definition 'Automatically fix code issues using self-healing capabilities' — autonomously modifies and executes code fixes
Attacks that exploit this kind of access
Automatically fix code issues using self-healing capabilities. It is categorised as a Execute tool in the Multi Agent Orchestrator MCP MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Multi Agent Orchestrator MCP server in PolicyLayer and add a rule for auto_fix_code: 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 Multi Agent Orchestrator MCP. Nothing to install.
auto_fix_code 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 auto_fix_code 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 auto_fix_code. 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.
auto_fix_code is provided by the Multi Agent Orchestrator MCP server (yoriichi-07/multi_orchestrator_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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