오늘 습관을 완료 체크합니다.
AI agents use db_habit_check to create or update resources in K-Personal MCP — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your K-Personal MCP environment.
This tool writes a completion record for a daily habit to the local SQLite database. It modifies data (marks a habit as done) but this is reversible and low blast radius — it only affects personal habit tracking data.
From the tool's definition '완료 체크합니다' means 'marks as complete' — it records a habit completion for today in the SQLite database
Attacks that exploit this kind of access
오늘 습관을 완료 체크합니다. It is categorised as a Write tool in the K-Personal MCP MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the K-Personal MCP server in PolicyLayer and add a rule for db_habit_check: 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 K-Personal MCP. Nothing to install.
db_habit_check 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 db_habit_check 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 db_habit_check. 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.
db_habit_check is provided by the K-Personal MCP server (lee30934-byte/k-personal-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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