listar_fornecedores
AI agents call listar_fornecedores 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.
The prefix 'listar' (to list) strongly indicates a read operation that retrieves a collection of supplier records. No side effects expected. Confidence is reduced due to empty description, but naming convention is consistent with other list/read tools.
From the tool's definition Tool name 'listar_fornecedores' translates from Portuguese as 'list suppliers', suggesting a read/query operation. Description is empty.
Attacks that exploit this kind of access
listar_fornecedores. It is categorised as a Read tool in the MCP Officegest MCP Server, which means it retrieves data without modifying state.
Register the MCP Officegest MCP server in PolicyLayer and add a rule for listar_fornecedores: 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.
listar_fornecedores is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the listar_fornecedores 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 listar_fornecedores. 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.
listar_fornecedores 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.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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