Medium Risk

generate_action

Genera una Server Action siguiendo los patrones del proyecto: - "use server" al inicio - Validación con Zod 4 usando safeParse - Autenticación con auth() de NextAuth si se requiere - Tipos de retorno explícitos - Revalidación de cache si aplica Args: - entity: nombre de la entidad (ej: "user",...

Part of the Project MCP server. Enforce policies on this tool with Intercept, the open-source MCP proxy.

project-mcp-server Write Risk 2/5

AI agents use generate_action 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_action repeatedly, creating or modifying resources faster than any human could review. Intercept'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.

project.yaml
tools:
  generate_action:
    rules:
      - action: allow
        rate_limit:
          max: 30
          window: 60

See the full Project policy for all 10 tools.

Tool Name generate_action
Category Write
MCP Server Project MCP Server
Risk Level Medium

View all 10 tools →

Agents calling write-class tools like generate_action have been implicated in these attack patterns. Read the full case and prevention policy for each:

Browse the full MCP Attack Database →

Other tools in the Write risk category across the catalogue. The same policy patterns (rate-limit, validate) apply to each.

What does the generate_action tool do? +

Genera una Server Action siguiendo los patrones del proyecto: - "use server" al inicio - Validación con Zod 4 usando safeParse - Autenticación con auth() de NextAuth si se requiere - Tipos de retorno explícitos - Revalidación de cache si aplica Args: - entity: nombre de la entidad (ej: "user", "post", "invoice") - operation: tipo de operación CRUD - with_auth: si requiere sesión autenticada (default: true) - prisma_schema: en qué schema de Prisma está la entidad Returns: código TypeScript listo para copiar a server/actions/[entity].ts. 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.

How do I enforce a policy on generate_action? +

Add a rule in your Intercept YAML policy under the tools section for generate_action. You can allow, deny, rate-limit, or validate arguments. Then run Intercept as a proxy in front of the Project MCP server.

What risk level is generate_action? +

generate_action is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit generate_action? +

Yes. Add a rate_limit block to the generate_action rule in your Intercept 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.

How do I block generate_action completely? +

Set action: deny in the Intercept policy for generate_action. 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.

What MCP server provides generate_action? +

generate_action is provided by the Project MCP server (project-mcp-server). Intercept sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policies on Project

Open source. One binary. Zero dependencies.

npx -y @policylayer/intercept
github.com/policylayer/intercept →
// GET IN TOUCH

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