Predict the best category for a product title (domain_discovery)
AI agents call predict_category to retrieve information from Mcp Ap2 without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool performs a read-only inference operation: it accepts a product title as input and returns a predicted category classification. There are no side effects, no data modification, no code execution, and no financial implications. This is a query/retrieval type operation that fits the Read category.
From the tool's definition Tool name is 'predict_category' and description states it 'Predict[s] the best category for a product title (domain_discovery)' — a classification/prediction operation that retrieves or queries a categorization model without modifying, executing external…
Documented attack patterns abuse exactly the kind of access predict_category gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Mcp Ap2, and nothing reaches the server without passing your rules. This is the rule we recommend for predict_category:
{
"version": "1",
"default": "deny",
"tools": {
"predict_category": {}
}
}predict_category is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Predict the best category for a product title (domain_discovery). It is categorised as a Read tool in the Mcp Ap2 MCP Server, which means it retrieves data without modifying state.
Register the Mcp Ap2 MCP server in PolicyLayer and add a rule for predict_category: 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 Ap2. Nothing to install.
predict_category 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_category 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_category. 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_category is provided by the Mcp Ap2 MCP server (@codespar/mcp-ap2). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Mcp Ap2, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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1300 Mcp Ap2 tools catalogued and risk-classified — across an index of 43,000+ MCP servers.