List AI actions in a space. Returns a maximum of 3 items per request. Use skip parameter to paginate through results.
AI agents call list_ai_actions to retrieve information from Contentful MCP Remote Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool queries and retrieves a list of AI actions with no modification, creation, deletion, or execution capability. It is a straightforward read operation with minimal blast radius if misused by an AI agent—it can only expose existing data.
From the tool's definition Tool name is 'list_ai_actions' and description states it 'List AI actions in a space' with pagination via skip parameter. No side effects mentioned; purely retrieves and returns data.
Attacks that exploit this kind of access
List AI actions in a space. Returns a maximum of 3 items per request. Use skip parameter to paginate through results. It is categorised as a Read tool in the Contentful MCP Remote Server MCP Server, which means it retrieves data without modifying state.
Register the Contentful MCP Remote Server MCP server in PolicyLayer and add a rule for list_ai_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 Contentful MCP Remote Server. Nothing to install.
list_ai_actions 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 list_ai_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.
Set action: deny in the PolicyLayer policy for list_ai_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.
list_ai_actions is provided by the Contentful MCP Remote Server MCP server (renzoqcad/contentful-express-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
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