Check the caller IP's free premium-API trial quota. TensorFeed gives 100 free /api/premium/* calls per IP per 24h rolling window with no auth required. This tool returns used_today, remaining, and resets_at without consuming a quota slot. Use it before deciding whether to make a paid call versus ...
AI agents call check_free_tier_status to retrieve information from TensorFeed without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This is a simple informational query that retrieves quota telemetry for the current IP address. It has no side effects, does not execute code or commands, does not modify or delete data, and does not involve financial transactions. It fits the Read category as a data retrieval operation.
From the tool's definition Tool returns status information ('used_today', 'remaining', 'resets_at') about the caller's quota without modifying any data or triggering external operations. The description explicitly states it checks and returns quota status with 'no arguments' required.
Attacks that exploit this kind of access
Check the caller IP's free premium-API trial quota. TensorFeed gives 100 free /api/premium/* calls per IP per 24h rolling window with no auth required. This tool returns used_today, remaining, and resets_at without consuming a quota slot. Use it before deciding whether to make a paid call versus waiting for the trial reset. No arguments. It is categorised as a Read tool in the TensorFeed MCP Server, which means it retrieves data without modifying state.
Register the TensorFeed MCP server in PolicyLayer and add a rule for check_free_tier_status: 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 TensorFeed. Nothing to install.
check_free_tier_status 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 check_free_tier_status 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 check_free_tier_status. 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.
check_free_tier_status is provided by the TensorFeed MCP server (https://mcp.tensorfeed.ai/mcp). 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.
Teams ship this data inside their own products. See what a licence covers →