Review code for issues, bugs, or improvements using Ollama. Use this for code quality checks and suggestions.
AI agents call ollama_review_code to retrieve information from Ollama MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool analyzes and reviews code, providing feedback and suggestions. It reads/inspects code without modifying files, executing commands, or causing side effects. The output is informational (issues, suggestions), making it a Read-category tool. Severity is low since misuse at worst produces incorrect review feedback.
From the tool's definition Review code for issues, bugs, or improvements... Use this for code quality checks and suggestions.
Documented attack patterns abuse exactly the kind of access ollama_review_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_review_code:
{
"version": "1",
"default": "deny",
"tools": {
"ollama_review_code": {}
}
} ollama_review_code is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
Free to start. No card required.
Review code for issues, bugs, or improvements using Ollama. Use this for code quality checks and suggestions. It is categorised as a Read tool in the Ollama MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Ollama MCP Server MCP server in PolicyLayer and add a rule for ollama_review_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_review_code is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the ollama_review_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_review_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_review_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.