login_ai
Autentica um utilizador e devolve um access token e dados de sessão para
This record as markdown: /tools/rubencodex86-officegest-api-v2-mcp/login-ai.md
What login_ai does on MCP Officegest
AI agents use login_ai to create or update resources in MCP Officegest, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your MCP Officegest environment.
Why login_ai is rated Medium
An AI agent can call login_ai faster than any human can review: one bad instruction and it creates or modifies resources in MCP Officegest by the hundred, each call as confident as the last.
Attacks that exploit this kind of access
The rule that runs login_ai safely
PolicyLayer is an MCP gateway: it sits between your AI agents and MCP Officegest, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For login_ai, this is the rule to start with:
login_ai stays usable, but capped: an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect MCP Officegest, apply this rule, and every login_ai call is checked against it from then on.
Questions about login_ai
Autentica um utilizador e devolve um access token e dados de sessão para. It is categorised as a Write tool in the MCP Officegest MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the MCP Officegest MCP server in PolicyLayer and add a rule for login_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.
login_ai 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 login_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.
Set action: deny in the PolicyLayer policy for login_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.
login_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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