This record as markdown: /tools/io-tinyfn-tinyfn/random-excuse.md
What random_excuse does on TinyFn
AI agents call random_excuse 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 |
|---|---|---|---|
context | string | — | Context: work, school, social |
Parameters from the server's own tool schema.
Why random_excuse is rated Low
The tool generates random content deterministically (consistent with the server's 500+ deterministic tools) and has no capability to modify, delete, or execute external operations. It is a pure read/generation operation with no blast radius if misused by an AI agent.
From the tool's definition Tool name is 'random_excuse' with description 'Generate a random excuse.' This retrieves/generates data with no side effects—it reads from or generates output without modifying any state, creating resources, executing code, or deleting anything.
Attacks that exploit this kind of access
The rule that runs random_excuse 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 random_excuse, this is the rule to start with:
random_excuse 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 random_excuse call is checked against it from then on.
Questions about random_excuse
Generate a random excuse. It is categorised as a Read tool in the TinyFn MCP Server, which means it retrieves data without modifying state.
random_excuse accepts 1 parameter: context. 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 random_excuse: 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.
random_excuse 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 random_excuse 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 random_excuse. 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.
random_excuse 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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