Retrieve details about a specific AI action including its configuration, instructions, and defined variables
AI agents call get_ai_action 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.
The tool retrieves and queries existing AI action configuration data without creating, modifying, deleting, or executing any operations. It has no side effects on the system state, making it a straightforward Read classification with low severity due to limited blast radius if misused by an AI agent.
From the tool's definition Tool name includes 'get_' prefix and description states 'Retrieve details about a specific AI action' with no mention of modifications, deletions, or side effects. This is purely a data retrieval operation.
Attacks that exploit this kind of access
Retrieve details about a specific AI action including its configuration, instructions, and defined variables. 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 get_ai_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 Contentful MCP Remote Server. Nothing to install.
get_ai_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_ai_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_ai_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_ai_action 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.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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