Demonstrates the MCP sampling pattern for AI-assisted operations. Shows how to create sampling requests for summarization, content generation, analysis, and translation tasks.
AI agents invoke sampling_example to trigger actions in Systemprompt. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.
This tool triggers AI sampling requests — external LLM/AI operations whose effects depend on arguments (content generation, analysis, translation). This is an active execution of external AI-driven operations rather than a simple data read or write. The blast radius is medium: it can invoke AI generation tasks but does not directly delete data or move money.
From the tool's definition 'Demonstrates the MCP sampling pattern for AI-assisted operations. Shows how to create sampling requests for summarization, content generation, analysis, and translation tasks.'
Documented attack patterns abuse exactly the kind of access sampling_example gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Systemprompt, and nothing reaches the server without passing your rules. This is the rule we recommend for sampling_example:
{
"version": "1",
"default": "deny",
"tools": {
"sampling_example": {
"limits": [
{
"counter": "sampling_example_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
} sampling_example stays usable, but rate-capped — a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.
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Demonstrates the MCP sampling pattern for AI-assisted operations. Shows how to create sampling requests for summarization, content generation, analysis, and translation tasks. It is categorised as a Execute tool in the Systemprompt MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Systemprompt MCP server in PolicyLayer and add a rule for sampling_example: 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 Systemprompt. Nothing to install.
sampling_example is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the sampling_example 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 sampling_example. 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.
sampling_example is provided by the Systemprompt MCP server (systempromptio/systemprompt-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 10 Systemprompt tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
Free to start. No card required.
10 Systemprompt tools catalogued and risk-classified — across an index of 42,500+ MCP servers.