AI agents call search_code to retrieve information from MCP-Brave-Search without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool queries GitHub repositories to find code matching search criteria. It performs a non-destructive read operation with no side effects—it retrieves data but does not create, modify, delete, or execute anything. While it may surface publicly or privately accessible code, the action itself is informational only, making it the lowest-severity category.
From the tool's definition The tool description states it 'Search[es] for code across GitHub repositories'. The verb 'search' indicates a read-only query operation that retrieves information without modification.
Documented attack patterns abuse exactly the kind of access search_code gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and MCP-Brave-Search, and nothing reaches the server without passing your rules. This is the rule we recommend for search_code:
{
"version": "1",
"default": "deny",
"tools": {
"search_code": {}
}
} search_code is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Search for code across GitHub repositories. It is categorised as a Read tool in the MCP-Brave-Search MCP Server, which means it retrieves data without modifying state.
Register the MCP-Brave-Search MCP server in PolicyLayer and add a rule for search_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 MCP-Brave-Search. Nothing to install.
search_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 search_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 search_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.
search_code is provided by the MCP-Brave-Search MCP server (modelcontextprotocol/servers-archived). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from MCP-Brave-Search, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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59 MCP-Brave-Search tools catalogued and risk-classified — across an index of 43,000+ MCP servers.