Estimate someone's age from their first name using global statistics. Returns predicted age and confidence count based on name frequency data.
Part of the Agify server.
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AI agents call predict_age to retrieve information from Agify 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 predict_age 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": {
"predict_age": {}
}
}See the full Agify policy for all 22 tools.
These attack patterns abuse exactly the kind of access predict_age 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.
Estimate someone's age from their first name using global statistics. Returns predicted age and confidence count based on name frequency data.. It is categorised as a Read tool in the Agify MCP Server, which means it retrieves data without modifying state.
Register the Agify MCP server in PolicyLayer and add a rule for predict_age: 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 Agify. Nothing to install.
predict_age 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 predict_age 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 predict_age. 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.
predict_age is provided by the Agify MCP server (https://gateway.pipeworx.io/agify/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 22 Agify tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
Free to start. No card required.
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