Actualizar un guía
AI agents use update_leader to create or update resources in LumbreTravel MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your LumbreTravel MCP Server environment.
This tool modifies guide/leader information within the travel program system. As an update operation, changes are reversible (data can be modified again or reverted), distinguishing it from destructive deletion. The blast radius is medium—incorrect updates could disrupt tour operations, but no data is permanently lost and corrections are possible.
From the tool's definition Tool name 'update_leader' and description 'Actualizar un guía' (Update a guide) indicate modification of existing guide/leader data. The verb 'update' and context of modifying travel program entities confirms reversible write operation.
Attacks that exploit this kind of access
Actualizar un guía. It is categorised as a Write tool in the LumbreTravel MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the LumbreTravel MCP Server MCP server in PolicyLayer and add a rule for update_leader: 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 LumbreTravel MCP Server. Nothing to install.
update_leader 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 update_leader 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 update_leader. 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.
update_leader is provided by the LumbreTravel MCP Server MCP server (lumile/lumbretravel-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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