Search RedM/RDR3 docs by behavior, concept, OR exact token. Use when you don't have a specific native hash/name (use lookup_native) and the term isn't a known asset name in a large data table (use grep_docs). Hybrid mode (default) handles 'how do I X' queries ('teleport player', 'spawn vehicle', ...
Risk signalsAccepts freeform code/query input (query)
Part of the Redm server.
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AI agents call semantic_search to retrieve information from Redm without modifying any data. This is common in research, monitoring, and reporting workflows where the agent needs context before taking action. Because read operations don't change state, they are generally safe to allow without restrictions -- but you may still want rate limits to control API costs.
Even though semantic_search only reads data, uncontrolled read access can leak sensitive information or rack up API costs. An agent caught in a retry loop could make thousands of calls per minute. A rate limit gives you a safety net without blocking legitimate use.
Read-only tools are safe to allow by default. No rate limit needed unless you want to control costs.
{
"version": "1",
"default": "deny",
"tools": {
"semantic_search": {}
}
}See the full Redm policy for all 10 tools.
These attack patterns abuse exactly the kind of access semantic_search gives an agent. Each links to the full case and the policy that stops it:
Other read tools across the catalogue. The same approach applies to each: allow, with a rate cap to control cost.
Search RedM/RDR3 docs by behavior, concept, OR exact token. Use when you don't have a specific native hash/name (use lookup_native) and the term isn't a known asset name in a large data table (use grep_docs). Hybrid mode (default) handles 'how do I X' queries ('teleport player', 'spawn vehicle', 'inventory add item') AND tokens ('addItem', 'weapon_pistol_volcanic', 'CPED_CONFIG_FLAG_') — fused via RRF over vector + BM25. Returns ranked snippets (path, breadcrumb, heading, snippet, score). Call get_document({path, heading}) for full chunk content. mode=semantic for pure vector; mode=lexical for pure BM25. Filter via category=vorp|rsgcore|oxmysql|natives|discoveries|jo_libs|learnings or namespace. Community findings merged by default; category=learnings returns only findings. If you are retrying after a previous call returned no useful results, populate prior_attempt so the server can surface alternative wordings and learn what's missing from the docs.. It is categorised as a Read tool in the Redm MCP Server, which means it retrieves data without modifying state.
Register the Redm MCP server in PolicyLayer and add a rule for semantic_search: 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 Redm. Nothing to install.
semantic_search 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 semantic_search 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 semantic_search. 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.
semantic_search is provided by the Redm MCP server (https://redm-mcp.fivem.no/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 10 Redm tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
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4,600+ MCP servers and 31,000+ tools scanned and risk-classified.