Get detailed information about a specific Freepik resource
AI agents call get_resource to retrieve information from Freepik MCP 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 detailed metadata about an existing resource without creating, modifying, deleting, or executing external code. This is a straightforward read operation that presents minimal risk if misused by an AI agent.
From the tool's definition Tool name is 'get_resource' and description states it 'Get detailed information about a specific Freepik resource' — a retrieval operation with no modification or deletion of data.
Attacks that exploit this kind of access
Get detailed information about a specific Freepik resource. It is categorised as a Read tool in the Freepik MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Freepik MCP Server MCP server in PolicyLayer and add a rule for get_resource: 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 Freepik MCP Server. Nothing to install.
get_resource 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_resource 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_resource. 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_resource is provided by the Freepik MCP Server MCP server (mcerqua/freepik-mcp). 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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