lnd_ai_skill_forecast
Forecasts AI skill demand trends for CHROs by analyzing patent filings (USPTO PatFT) and job postings (BLS API). Returns 12-month skill demand projections with confidence scores, helping HR leaders prioritize workforce upskilling. Inputs: target AI skills (e.g., 'machine learning', 'NLP'), geogra...
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What lnd_ai_skill_forecast does on Gapup Mcp
AI agents call lnd_ai_skill_forecast 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 |
region | string | Yes | Geographic focus (US state code or 'US' for national, e.g., 'CA', 'US') |
skills | array | Yes | List of AI-related skills to forecast (e.g., ['machine learning', 'computer vision']) |
horizon_months | number | — | Forecast horizon in months (3-24, default 12) |
Parameters from the server's own tool schema.
Why lnd_ai_skill_forecast is rated Low
This tool retrieves and analyzes external data sources (USPTO PatFT, BLS API) to produce forecasts and projections. It is purely a read/query operation with no side effects, data modification, code execution, or financial transactions. The output is informational (skill demand projections, growth rates, job posting volumes) for HR decision-making purposes.
From the tool's definition Forecasts AI skill demand trends... analyzing patent filings (USPTO PatFT) and job postings (BLS API). Returns 12-month skill demand projections... Outputs include skill growth rates, patent filing trends, and job posting volumes.
Attacks that exploit this kind of access
The rule that runs lnd_ai_skill_forecast 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 lnd_ai_skill_forecast, this is the rule to start with:
lnd_ai_skill_forecast 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 lnd_ai_skill_forecast call is checked against it from then on.
Questions about lnd_ai_skill_forecast
Forecasts AI skill demand trends for CHROs by analyzing patent filings (USPTO PatFT) and job postings (BLS API). Returns 12-month skill demand projections with confidence scores, helping HR leaders prioritize workforce upskilling. Inputs: target AI skills (e.g., 'machine learning', 'NLP'), geographic focus (US state/country), and forecast horizon. Outputs include skill growth rates, patent filing trends, and job posting volumes. Keywords: AI workforce planning, skill gap analysis, talent strategy, patent trends, labor market data. It is categorised as a Read tool in the Gapup Mcp MCP Server, which means it retrieves data without modifying state.
lnd_ai_skill_forecast accepts 4 parameters: async, region, skills, horizon_months. Required: region, skills. 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 lnd_ai_skill_forecast: 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.
lnd_ai_skill_forecast 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 lnd_ai_skill_forecast 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 lnd_ai_skill_forecast. 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.
lnd_ai_skill_forecast 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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