Demonstrates input validation with JSON Schema - validates user data and returns structured results
AI agents call validation_example to retrieve information from Systemprompt without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The tool demonstrates validation mechanics using JSON Schema, which is a data validation operation. It takes user data as input and returns validation results - a read-only operation with no side effects, no code execution, no data modification, and no deletion. The validation function inspects data against a schema and reports results, making it a Read category tool.
From the tool's definition Tool name 'validation_example' and description 'validates user data and returns structured results' indicate this performs input validation and returns structured output without modifying or executing operations.
Documented attack patterns abuse exactly the kind of access validation_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 validation_example:
{
"version": "1",
"default": "deny",
"tools": {
"validation_example": {}
}
}validation_example is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Demonstrates input validation with JSON Schema - validates user data and returns structured results. It is categorised as a Read tool in the Systemprompt MCP Server, which means it retrieves data without modifying state.
Register the Systemprompt MCP server in PolicyLayer and add a rule for validation_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.
validation_example 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 validation_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 validation_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.
validation_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.