Get detailed information about a specific action/draw call. Args: event_id: The event ID of the action to inspect.
AI agents call get_action to retrieve information from Renderdoc without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The tool retrieves and inspects metadata about a GPU draw call event from an already-captured RenderDoc frame. It performs a query operation that returns data for analysis purposes. There is no indication of code execution, data modification, deletion, or external side effects. The action is purely informational, examining existing frame capture data.
From the tool's definition Tool name 'get_action' and description 'Get detailed information about a specific action/draw call' indicate retrieval of frame capture analysis data without modification or side effects.
Documented attack patterns abuse exactly the kind of access get_action gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Renderdoc, and nothing reaches the server without passing your rules. This is the rule we recommend for get_action:
{
"version": "1",
"default": "deny",
"tools": {
"get_action": {}
}
} get_action is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Get detailed information about a specific action/draw call. Args: event_id: The event ID of the action to inspect. It is categorised as a Read tool in the Renderdoc MCP Server, which means it retrieves data without modifying state.
Register the Renderdoc MCP server in PolicyLayer and add a rule for get_action: 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 Renderdoc. Nothing to install.
get_action 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 get_action 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 get_action. 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.
get_action is provided by the Renderdoc MCP server (linkingooo/renderdoc-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Renderdoc, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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42 Renderdoc tools catalogued and risk-classified — across an index of 43,000+ MCP servers.