ip_in_network
Check if an IP address is within a network.
This record as markdown: /tools/io-tinyfn-tinyfn/ip-in-network.md
What ip_in_network does on TinyFn
AI agents call ip_in_network to retrieve information from TinyFn 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 |
|---|---|---|---|
ip | string | Yes | IP address to check |
network | string | Yes | Network in CIDR notation |
Parameters from the server's own tool schema.
Why ip_in_network is rated Low
This is a deterministic validation/query tool that reads input parameters (an IP address and a network) and returns a boolean result. It performs no side effects, creates no data, executes no code, and triggers no external operations. It aligns with the Read category as a simple lookup or validation function with no blast radius if misused by an AI agent.
From the tool's definition Tool name 'ip_in_network' and description 'Check if an IP address is within a network' indicate a query operation that validates/checks membership without modifying data or triggering external operations.
Attacks that exploit this kind of access
The rule that runs ip_in_network safely
PolicyLayer is an MCP gateway: it sits between your AI agents and TinyFn, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For ip_in_network, this is the rule to start with:
ip_in_network 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 TinyFn, apply this rule, and every ip_in_network call is checked against it from then on.
Questions about ip_in_network
Check if an IP address is within a network. It is categorised as a Read tool in the TinyFn MCP Server, which means it retrieves data without modifying state.
ip_in_network accepts 2 parameters: ip, network. Required: ip, network. The full parameter table on this page comes from the server's own tool schema.
Register the TinyFn MCP server in PolicyLayer and add a rule for ip_in_network: 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 TinyFn. Nothing to install.
ip_in_network 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 ip_in_network 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 ip_in_network. 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.
ip_in_network is provided by the TinyFn MCP server (https://api.tinyfn.io/mcp/all/). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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