Get the result of a model execution and automatically download any image URLs in the response. Returns the model output with embedded base64 image data for any image URLs found. You need to check the status of the model using the fal-get-status tool first.
AI agents call fal-get-result to retrieve information from Mcp Gmail without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves previously computed results and downloads associated images. It reads data that already exists without creating, modifying, deleting, or executing new operations. The action is idempotent and non-destructive. While it downloads images, this is a read operation that retrieves existing outputs. The blast radius from misuse is minimal as it only exposes already-computed results.
From the tool's definition Tool performs retrieval operations: 'Get the result of a model execution', 'Returns the model output', 'download any image URLs' - these are query and fetch operations with no side effects or data modification.
Attacks that exploit this kind of access
Get the result of a model execution and automatically download any image URLs in the response. Returns the model output with embedded base64 image data for any image URLs found. You need to check the status of the model using the fal-get-status tool first. It is categorised as a Read tool in the Mcp Gmail MCP Server, which means it retrieves data without modifying state.
Register the Mcp Gmail MCP server in PolicyLayer and add a rule for fal-get-result: 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 Mcp Gmail. Nothing to install.
fal-get-result 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 fal-get-result 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 fal-get-result. 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.
fal-get-result is provided by the Mcp Gmail MCP server (@monsoft/mcp-gmail). 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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