AI agents use update_tech_skill to create or update resources in Lapras — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Lapras environment.
| Parameter | Type | Required | Description |
|---|---|---|---|
tech_skill_list | array | Yes | List of tech skills with experience years |
Parameters from the server's own tool schema.
The tool updates (modifies) user profile data regarding technical skills, certifications, and qualifications. This is a reversible Write operation—the user can later modify or delete these skills. It does not delete data (Destructive), execute arbitrary code (Execute), handle financial transactions (Financial), or trigger uncontrolled external operations.
From the tool's definition Tool name is 'update_tech_skill' and description explicitly states 'Update tech skills' on a user profile platform (lapras.com). This is a modification operation on user data.
Attacks that exploit this kind of access
Update tech skills(経験技術・スキル・資格) on LAPRAS(https://lapras.com). It is categorised as a Write tool in the Lapras MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
update_tech_skill accepts 1 parameter: tech_skill_list. Required: tech_skill_list. The full parameter table on this page comes from the server's own tool schema.
Register the Lapras MCP server in PolicyLayer and add a rule for update_tech_skill: 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 Lapras. Nothing to install.
update_tech_skill 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_tech_skill 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_tech_skill. 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_tech_skill is provided by the Lapras MCP server (@lapras-inc/lapras-mcp-server). 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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