Low Risk

search_actions

Search for actions by name pattern and/or flags. Args: name_pattern: Regex pattern to match action names (case-insensitive). flags: List of ActionFlags names; actions matching ANY flag are included.

How to control search_actions ↓

What search_actions does on Renderdoc

AI agents call search_actions 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.

Low Risk

Why search_actions needs a policy

search_actions performs read-only querying of RenderDoc frame capture data to locate actions matching specified criteria. It retrieves information without modifying any captured data, executing code, or triggering external operations. The search functionality is purely informational, making it a classic Read operation with minimal blast radius if misused.

From the tool's definition Tool description explicitly states 'Search for actions by name pattern and/or flags' with filtering and matching capabilities. No modification, deletion, execution, or state-changing operations are described.

Documented attack patterns abuse exactly the kind of access search_actions gives an agent:

How to control search_actions

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 search_actions:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "search_actions": {}
  }
}

search_actions is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

  1. Create a free account and register Renderdoc — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
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Related tools and policies

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Questions about search_actions

What does the search_actions tool do? +

Search for actions by name pattern and/or flags. Args: name_pattern: Regex pattern to match action names (case-insensitive). flags: List of ActionFlags names; actions matching ANY flag are included. It is categorised as a Read tool in the Renderdoc MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on search_actions? +

Register the Renderdoc MCP server in PolicyLayer and add a rule for search_actions: 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.

What risk level is search_actions? +

search_actions is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit search_actions? +

Yes. Add a rate_limit block to the search_actions 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.

How do I block search_actions completely? +

Set action: deny in the PolicyLayer policy for search_actions. 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.

What MCP server provides search_actions? +

search_actions 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.

Enforce policy on every Renderdoc tool call.

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.

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