random_gaussian
Generate random number(s) from a Gaussian (normal) distribution.
This record as markdown: /tools/io-tinyfn-tinyfn/random-gaussian.md
What random_gaussian does on TinyFn
AI agents call random_gaussian 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 |
|---|---|---|---|
mean | number | — | Mean (center) of the distribution |
count | integer | — | Number of values to generate |
std_dev | number | — | Standard deviation |
decimals | integer | — | Decimal places |
Parameters from the server's own tool schema.
Why random_gaussian is rated Low
Random number generation from a statistical distribution is a read-only mathematical operation. It does not create persistent data, modify state, execute external commands, delete anything, or commit financial obligations. The lack of parameters for controlling external behavior, combined with the deterministic nature of the server's tools, confirms this is a simple mathematical utility with minimal risk.
From the tool's definition Tool name is 'random_gaussian' and description states it 'Generate[s] random number(s) from a Gaussian (normal) distribution.' This is a pure computation that retrieves/generates data with no side effects, modifications, or external operations.
Attacks that exploit this kind of access
The rule that runs random_gaussian 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_gaussian, this is the rule to start with:
random_gaussian 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_gaussian call is checked against it from then on.
Questions about random_gaussian
Generate random number(s) from a Gaussian (normal) distribution. It is categorised as a Read tool in the TinyFn MCP Server, which means it retrieves data without modifying state.
random_gaussian accepts 4 parameters: mean, count, std_dev, decimals. 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_gaussian: 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_gaussian 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_gaussian 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_gaussian. 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_gaussian 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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