Run validation on the current form state and return all errors
AI agents invoke validate_form to trigger actions in React Tools. 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 executes a validation routine against the current form state, which is an active operation that runs logic and returns results. It's not purely reading static data — it triggers a validation pass that may invoke validators, business rules, or remote checks. Most severe applicable category is Execute, since it runs a process whose side effects depend on the form state and registered validators.
From the tool's definition "Run validation on the current form state" — actively triggers a validation process/execution on the form
Documented attack patterns abuse exactly the kind of access validate_form gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and React Tools, and nothing reaches the server without passing your rules. This is the rule we recommend for validate_form:
{
"version": "1",
"default": "deny",
"tools": {
"validate_form": {
"limits": [
{
"counter": "validate_form_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
}validate_form 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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Run validation on the current form state and return all errors. It is categorised as a Execute tool in the React Tools MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the React Tools MCP server in PolicyLayer and add a rule for validate_form: 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 React Tools. Nothing to install.
validate_form 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 validate_form 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 validate_form. 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.
validate_form is provided by the React Tools MCP server (mcp-fe/mcp-fe). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from React Tools, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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20 React Tools tools catalogued and risk-classified — across an index of 43,000+ MCP servers.