This record as markdown: /tools/io-tinyfn-tinyfn/false-endpoint.md
What false_endpoint does on TinyFn
AI agents call false_endpoint 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.
Why false_endpoint is rated Low
This is a deterministic utility tool that retrieves/returns a static value (false). It performs no write operations, does not execute code with side effects, does not delete data, and does not involve financial transactions. It is consistent with the server's purpose of providing utility functions for AI agents.
From the tool's definition Tool name 'false_endpoint' and description 'Returns false' indicate a simple function that returns a boolean value with no side effects, no data modification, and no external operations.
Attacks that exploit this kind of access
The rule that runs false_endpoint 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 false_endpoint, this is the rule to start with:
false_endpoint 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 false_endpoint call is checked against it from then on.
Questions about false_endpoint
Returns false. It is categorised as a Read tool in the TinyFn MCP Server, which means it retrieves data without modifying state.
Register the TinyFn MCP server in PolicyLayer and add a rule for false_endpoint: 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.
false_endpoint 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 false_endpoint 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 false_endpoint. 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.
false_endpoint 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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