Retrieve information about a specific AI action invocation by its ID.
AI agents call get_ai_action_invocation 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 performs a read-only operation that fetches data about an existing AI action invocation. It does not create, modify, delete, or execute any operations—it merely retrieves information. The 'get_' prefix and 'Retrieve information' language confirm this is a Read category tool. Severity is low as unauthorized access to invocation metadata poses minimal risk compared to destructive or financial operations.
From the tool's definition The tool name and description explicitly state it 'Retrieve[s] information about a specific AI action invocation by its ID.' This is a query/retrieval operation with no modification or side effects.
Attacks that exploit this kind of access
Retrieve information about a specific AI action invocation by its ID. 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_invocation: 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_invocation 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_invocation 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_invocation. 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_invocation 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.
Teams ship this data inside their own products. See what a licence covers →