talent_legal_dashboard
Generates a real-time legal risk dashboard for CHROs, covering contracts, intellectual property, and labor law compliance. Inputs include jurisdiction, employee count, and risk thresholds; outputs include risk scores, actionable alerts, and source citations. Ideal for proactive legal risk managem...
This record as markdown: /tools/io-github-getgapup-gapup-mcp/talent-legal-dashboard.md
What talent_legal_dashboard does on Gapup Mcp
AI agents call talent_legal_dashboard to retrieve information from Gapup Mcp without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
| Parameter | Type | Required | Description |
|---|---|---|---|
async | boolean | — | If true, returns a job_id immediately (<200ms) instead of waiting for the result. Poll the result with job_result(job_id). Use for slow tools to avoid client ti |
includeIP | boolean | — | |
jurisdiction | string | Yes | |
employeeCount | number | Yes | |
riskThreshold | number | — | |
includeLaborLaw | boolean | — |
Parameters from the server's own tool schema.
Why talent_legal_dashboard is rated Low
The tool reads and aggregates legal/compliance data to produce a dashboard with risk scores and alerts. There is no indication it creates, modifies, deletes, or transacts data—it is purely an information retrieval and reporting tool. Severity is medium because the legal and HR data involved (jurisdiction, employee count, risk thresholds) is sensitive, and misuse could expose confidential compliance posture.
From the tool's definition Generates a real-time legal risk dashboard...outputs include risk scores, actionable alerts, and source citations
Attacks that exploit this kind of access
The rule that runs talent_legal_dashboard safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Gapup Mcp, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For talent_legal_dashboard, this is the rule to start with:
talent_legal_dashboard is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Gapup Mcp, apply this rule, and every talent_legal_dashboard call is checked against it from then on.
Questions about talent_legal_dashboard
Generates a real-time legal risk dashboard for CHROs, covering contracts, intellectual property, and labor law compliance. Inputs include jurisdiction, employee count, and risk thresholds; outputs include risk scores, actionable alerts, and source citations. Ideal for proactive legal risk management and compliance monitoring. Pass async:true to avoid timeout. It is categorised as a Read tool in the Gapup Mcp MCP Server, which means it retrieves data without modifying state.
talent_legal_dashboard accepts 6 parameters: async, includeIP, jurisdiction, employeeCount, riskThreshold, includeLaborLaw. Required: jurisdiction, employeeCount. The full parameter table on this page comes from the server's own tool schema.
Register the Gapup MCP server in PolicyLayer and add a rule for talent_legal_dashboard: 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 Gapup Mcp. Nothing to install.
talent_legal_dashboard 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 talent_legal_dashboard 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 talent_legal_dashboard. 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.
talent_legal_dashboard is provided by the Gapup MCP server (https://mcp.gapup.io/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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