Genera un componente React siguiendo las convenciones del proyecto: - RSC por defecto, "use client" solo si se especifica - Tipado con TypeScript estricto - Usa cn() para merge de clases Tailwind - Props interface explícita Args: - name: nombre del componente en PascalCase - feature: feature a la...
Part of the Project server.
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AI agents use generate_component to create or modify resources in Project. Write operations carry medium risk because an autonomous agent could trigger bulk unintended modifications. Rate limits prevent a single agent session from making hundreds of changes in rapid succession. Argument validation ensures the agent passes expected values.
Without a policy, an AI agent could call generate_component repeatedly, creating or modifying resources faster than any human could review. PolicyLayer's rate limiting ensures write operations happen at a controlled pace, and argument validation catches malformed or unexpected inputs before they reach Project.
Write tools can modify data. A rate limit prevents runaway bulk operations from AI agents.
{
"version": "1",
"default": "deny",
"tools": {
"generate_component": {
"limits": [
{
"counter": "generate_component_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}See the full Project policy for all 10 tools.
These attack patterns abuse exactly the kind of access generate_component gives an agent. Each links to the full case and the policy that stops it:
Other write tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.
Genera un componente React siguiendo las convenciones del proyecto: - RSC por defecto, "use client" solo si se especifica - Tipado con TypeScript estricto - Usa cn() para merge de clases Tailwind - Props interface explícita Args: - name: nombre del componente en PascalCase - feature: feature a la que pertenece (carpeta en components/) - type: tipo de componente. It is categorised as a Write tool in the Project MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Project MCP server in PolicyLayer and add a rule for generate_component: 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 Project. Nothing to install.
generate_component is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the generate_component 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 generate_component. 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.
generate_component is provided by the Project MCP server (project-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 Project tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
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