AI agents call search_repositories 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 retrieves or queries GitHub repository data without creating, modifying, deleting, or executing operations. It is a read-only search function, presenting minimal risk as it only returns information already publicly available or accessible to the authenticated user.
From the tool's definition Tool name 'search_repositories' and description 'Search for GitHub repositories' indicate a query/retrieval operation with no modification or execution of code.
Documented attack patterns abuse exactly the kind of access search_repositories 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_repositories:
{
"version": "1",
"default": "deny",
"tools": {
"search_repositories": {}
}
}search_repositories 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 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_repositories: 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_repositories 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_repositories 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_repositories. 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_repositories 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.