AI agents use fix_code to create or update resources in Claude Code — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Claude Code environment.
This tool modifies existing code to fix bugs, which is a write/modification operation. It creates altered versions of code. The severity is medium because while it modifies code it operates on provided code snippets rather than directly writing to the filesystem (based on available description).
From the tool's definition Fixes bugs or issues in the given code
Documented attack patterns abuse exactly the kind of access fix_code gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Claude Code, and nothing reaches the server without passing your rules. This is the rule we recommend for fix_code:
{
"version": "1",
"default": "deny",
"tools": {
"fix_code": {
"limits": [
{
"counter": "fix_code_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
} fix_code stays usable, but capped — an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.
Free to start. No card required.
Fixes bugs or issues in the given code. It is categorised as a Write tool in the Claude Code MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Claude Code MCP server in PolicyLayer and add a rule for 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 Claude Code. Nothing to install.
fix_code is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the 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 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.
fix_code is provided by the Claude Code MCP server (kunihiros/claude-code-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Claude Code, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
7 Claude Code tools catalogued and risk-classified — across an index of 43,000+ MCP servers.