info_ai

Obtém o payload de sessão (encriptado) para integração com o backend de IA.

Server MCP Officegest rubencodex86/officegest-api-v2-mcp
Category Read
Risk class Low
Parameters 00 required

What info_ai does on MCP Officegest

AI agents call info_ai to retrieve information from MCP Officegest without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Why info_ai needs a policy

The tool retrieves ('Obtém') an encrypted session payload — a read/fetch operation. However, session tokens can be sensitive credentials enabling further access, so severity is medium despite being a read-only operation.

From the tool's definition Obtém o payload de sessão (encriptado) para integração com o backend de IA

Questions about info_ai

What does the info_ai tool do? +

Obtém o payload de sessão (encriptado) para integração com o backend de IA. It is categorised as a Read tool in the MCP Officegest MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on info_ai? +

Register the MCP Officegest MCP server in PolicyLayer and add a rule for info_ai: 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 MCP Officegest. Nothing to install.

What risk level is info_ai? +

info_ai is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit info_ai? +

Yes. Add a rate_limit block to the info_ai 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.

How do I block info_ai completely? +

Set action: deny in the PolicyLayer policy for info_ai. 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 info_ai? +

info_ai is provided by the MCP Officegest MCP server (rubencodex86/officegest-api-v2-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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