listar_precos_cliente
AI agents call listar_precos_cliente 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 name follows a 'listar_' (list) prefix pattern common to read operations, indicating it retrieves pricing data for clients. However, the description is empty, so confidence is reduced. Based on naming convention alone, this appears to be a read operation with low blast radius.
From the tool's definition Tool name 'listar_precos_cliente' translates from Portuguese as 'list client prices', suggesting a read/list operation.
Attacks that exploit this kind of access
listar_precos_cliente. 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_precos_cliente: 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_precos_cliente 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_precos_cliente 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_precos_cliente. 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_precos_cliente 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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