AI agents call random_compliment to retrieve information from TinyFn without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
| Parameter | Type | Required | Description |
|---|---|---|---|
name | string | — | Name to compliment |
Parameters from the server's own tool schema.
This tool retrieves/generates data (a compliment string) with no side effects. It does not create persistent records, modify state, execute arbitrary code, delete data, or involve financial transactions. It fits the Read category as it simply produces and returns output. Severity is low because misuse carries no blast radius—an AI agent generating random compliments poses no security or operational risk.
From the tool's definition Tool name is 'random_compliment' and description states 'Generate a random compliment.' This is a generative operation that returns data without modifying, creating, or deleting any persistent state. It has no side effects beyond returning a value.
Attacks that exploit this kind of access
Generate a random compliment. It is categorised as a Read tool in the TinyFn MCP Server, which means it retrieves data without modifying state.
random_compliment accepts 1 parameter: name. 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_compliment: 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_compliment 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_compliment 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_compliment. 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_compliment 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.
random_compliment is one line of TinyFn's registry record.
The record carries the whole server: verified identity, auth posture, risk grade, every tool classified, recommended policy — re-checked continuously.
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