validate_render_output
Validate that a rendered output exists and is non-empty enough for automated smoke checks.
This record as markdown: /tools/synthetic-ai-ae-mcp/validate-render-output.md
What validate_render_output does on Ae
AI agents call validate_render_output to retrieve information from Ae without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
| Parameter | Type | Required | Description |
|---|---|---|---|
minBytes | number | — | Minimum expected byte size. Defaults to 1024. |
outputPath | string | Yes | Absolute path to a rendered file. |
Parameters from the server's own tool schema.
Why validate_render_output is rated Low
Even though validate_render_output only reads data, uncontrolled read access leaks sensitive information and racks up API costs: an agent caught in a retry loop can make thousands of calls a minute without anyone noticing.
Attacks that exploit this kind of access
The rule that runs validate_render_output safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Ae, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For validate_render_output, this is the rule to start with:
validate_render_output is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Ae, apply this rule, and every validate_render_output call is checked against it from then on.
Questions about validate_render_output
Validate that a rendered output exists and is non-empty enough for automated smoke checks. It is categorised as a Read tool in the Ae MCP Server, which means it retrieves data without modifying state.
validate_render_output accepts 2 parameters: minBytes, outputPath. Required: outputPath. The full parameter table on this page comes from the server's own tool schema.
Register the Ae MCP server in PolicyLayer and add a rule for validate_render_output: 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 Ae. Nothing to install.
validate_render_output 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 validate_render_output 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 validate_render_output. 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.
validate_render_output is provided by the Ae MCP server (@synthetic-ai/ae-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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