lnd_ai_skill_forecast

SERVERMcp Knowledge SOURCEhttps://mcp.gapup.io

Low RISK CLASS

Category Read

Parameters 42 required

Recommended Allowedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-getgapup-mcp-knowledge/lnd-ai-skill-forecast.md

WHAT IT DOES

What lnd_ai_skill_forecast does on Mcp Knowledge

AI agents call lnd_ai_skill_forecast to retrieve information from Mcp Knowledge 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.

RISK

Why lnd_ai_skill_forecast is rated Low

This tool retrieves and analyzes external data sources (USPTO PatFT, BLS API) to generate read-only forecasts and projections. It produces informational outputs (skill growth rates, patent filing trends, job posting volumes) with no side effects, modifications, or executions. It is purely a data retrieval and analysis tool.

From the tool's definition Forecasts AI skill demand trends by analyzing patent filings (USPTO PatFT) and job postings (BLS API). Returns 12-month skill demand projections with confidence scores.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs lnd_ai_skill_forecast safely

PolicyLayer is an MCP gateway: it sits between your AI agents and Mcp Knowledge, 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 Allowed

lnd_ai_skill_forecast is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "lnd_ai_skill_forecast": {}
  }
}

ALLOW ONLY THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Mcp Knowledge, apply this rule, and every lnd_ai_skill_forecast call is checked against it from then on.

FAQ

Questions about lnd_ai_skill_forecast

What does the lnd_ai_skill_forecast tool do? +

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 Mcp Knowledge MCP Server, which means it retrieves data without modifying state.

What parameters does lnd_ai_skill_forecast accept? +

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.

How do I enforce a policy on lnd_ai_skill_forecast? +

Register the Mcp Knowledge 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 Mcp Knowledge. Nothing to install.

What risk level is lnd_ai_skill_forecast? +

lnd_ai_skill_forecast is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit lnd_ai_skill_forecast? +

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.

How do I block lnd_ai_skill_forecast completely? +

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.

What MCP server provides lnd_ai_skill_forecast? +

lnd_ai_skill_forecast is provided by the Mcp Knowledge MCP server (https://mcp.gapup.io). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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