Submits previously prepared bulk timetable entries. Only submit after the user has confirmed the date range (날짜 범위), work type (업무유형), project (프로젝트), and hours (시간). When referring to work type, prefer the Korean labels and keep enum codes only as secondary hints.
AI agents use timetable.submit_prepared_bulk_entries to create or update resources in Tlc Portal — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Tlc Portal environment.
This tool submits bulk timetable entries (work logs) to the portal system. Bulk submission means a single misuse could create many incorrect records across a date range. It is Write rather than Execute because it is submitting structured data (not running arbitrary code), and while potentially reversible (entries might be editable), bulk incorrect submissions have significant blast radius.
From the tool's definition 'Submits previously prepared bulk timetable entries' — creates/writes multiple timetable records in bulk after user confirmation
Attacks that exploit this kind of access
Submits previously prepared bulk timetable entries. Only submit after the user has confirmed the date range (날짜 범위), work type (업무유형), project (프로젝트), and hours (시간). When referring to work type, prefer the Korean labels and keep enum codes only as secondary hints. It is categorised as a Write tool in the Tlc Portal MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Tlc Portal MCP server in PolicyLayer and add a rule for timetable.submit_prepared_bulk_entries: 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 Tlc Portal. Nothing to install.
timetable.submit_prepared_bulk_entries 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 timetable.submit_prepared_bulk_entries 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 timetable.submit_prepared_bulk_entries. 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.
timetable.submit_prepared_bulk_entries is provided by the Tlc Portal MCP server (mingovvv/tlc-portal-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.
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