Fix bugs or errors in code using Ollama. Provide the broken code and error details.
AI agents invoke ollama_fix_code to trigger actions in Ollama MCP Server. 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 processes and modifies code to fix bugs, which involves generating/transforming code. While it doesn't directly execute code or delete data, it produces modified code artifacts that could introduce new vulnerabilities or unintended behaviors if an AI agent misuses it.
From the tool's definition Fix bugs or errors in code using Ollama. Provide the broken code and error details.
Documented attack patterns abuse exactly the kind of access ollama_fix_code gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Ollama MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for ollama_fix_code:
{
"version": "1",
"default": "deny",
"tools": {
"ollama_fix_code": {
"limits": [
{
"counter": "ollama_fix_code_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
} ollama_fix_code 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.
Free to start. No card required.
Fix bugs or errors in code using Ollama. Provide the broken code and error details. It is categorised as a Execute tool in the Ollama MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Ollama MCP Server MCP server in PolicyLayer and add a rule for ollama_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 Ollama MCP Server. Nothing to install.
ollama_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 ollama_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 ollama_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.
ollama_fix_code is provided by the Ollama MCP Server MCP server (jadael/ollamaclaude). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Ollama MCP Server, 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.
11 Ollama MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.