POST /tools/tool_data_transformer/run — Extracts structured JSON from raw text using a caller-supplied JSON Schema. Input: {raw_text: string, target_json_schema: object (JSON Schema draft-07)}. Output: {success, extracted_data, extraction_method, validation_passed, error}. extraction_method is on...
Part of the Agent Vending Factory server.
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AI agents call tool_data_transformer to retrieve information from Agent Vending Factory without modifying any data. This is common in research, monitoring, and reporting workflows where the agent needs context before taking action. Because read operations don't change state, they are generally safe to allow without restrictions -- but you may still want rate limits to control API costs.
Even though tool_data_transformer only reads data, uncontrolled read access can leak sensitive information or rack up API costs. An agent caught in a retry loop could make thousands of calls per minute. A rate limit gives you a safety net without blocking legitimate use.
Read-only tools are safe to allow by default. No rate limit needed unless you want to control costs.
{
"version": "1",
"default": "deny",
"tools": {
"tool_data_transformer": {}
}
}See the full Agent Vending Factory policy for all 6 tools.
These attack patterns abuse exactly the kind of access tool_data_transformer gives an agent. Each links to the full case and the policy that stops it:
Other read tools across the catalogue. The same approach applies to each: allow, with a rate cap to control cost.
POST /tools/tool_data_transformer/run — Extracts structured JSON from raw text using a caller-supplied JSON Schema. Input: {raw_text: string, target_json_schema: object (JSON Schema draft-07)}. Output: {success, extracted_data, extraction_method, validation_passed, error}. extraction_method is one of: 'direct_parse', 'embedded_json', 'regex_extraction'. No LLM involved — pure parsing pipeline. Type coercion applied for integer/number/boolean fields. Works best with flat schemas; deeply nested structures extract less reliably via key-value pass. Cost: $0.0500 USDC per call.. It is categorised as a Read tool in the Agent Vending Factory MCP Server, which means it retrieves data without modifying state.
Register the Agent Vending Factory MCP server in PolicyLayer and add a rule for tool_data_transformer: 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 Agent Vending Factory. Nothing to install.
tool_data_transformer 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 tool_data_transformer 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 tool_data_transformer. 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.
tool_data_transformer is provided by the Agent Vending Factory MCP server (https://agent-vending-factory-3srpjtr7na-ew.a.run.app/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 6 Agent Vending Factory tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
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