lnd_skill_taxonomy_builder
Generates a dynamic skill taxonomy for CHROs by cross-referencing patent filings (USPTO), job postings (BLS), and learning & development data (OECD). Inputs include industry codes, job roles, or skill clusters; outputs structured skill hierarchies with demand trends and competency gaps. Essential...
This record as markdown: /tools/io-github-getgapup-gapup-mcp/lnd-skill-taxonomy-builder.md
What lnd_skill_taxonomy_builder does on Gapup Mcp
AI agents call lnd_skill_taxonomy_builder 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 |
jobRole | string | — | Target job role or occupation (e.g., 'Data Scientist') |
industry | string | Yes | NAICS industry code or sector name (e.g., '541511' for IT services) |
timeRange | string | — | Time range for trend analysis |
skillCluster | string | — | Optional skill cluster to focus taxonomy (e.g., 'AI/ML') |
Parameters from the server's own tool schema.
Why lnd_skill_taxonomy_builder is rated Low
This tool retrieves and aggregates data from multiple external sources (USPTO, BLS, OECD) to generate a structured taxonomy report. It is purely analytical/read-oriented with no writes, deletions, code execution, or financial transactions involved. The output is informational — skill hierarchies and demand trends — with no side effects on external systems.
From the tool's definition Generates a dynamic skill taxonomy... cross-referencing patent filings (USPTO), job postings (BLS), and learning & development data (OECD)... outputs structured skill hierarchies with demand trends and competency gaps
Attacks that exploit this kind of access
The rule that runs lnd_skill_taxonomy_builder 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_skill_taxonomy_builder, this is the rule to start with:
lnd_skill_taxonomy_builder 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_skill_taxonomy_builder call is checked against it from then on.
Questions about lnd_skill_taxonomy_builder
Generates a dynamic skill taxonomy for CHROs by cross-referencing patent filings (USPTO), job postings (BLS), and learning & development data (OECD). Inputs include industry codes, job roles, or skill clusters; outputs structured skill hierarchies with demand trends and competency gaps. Essential for workforce transformation, talent pipeline optimization, and future-proofing organizational capabilities. — pass async:true REQUIRED to avoid x402 timeout. It is categorised as a Read tool in the Gapup Mcp MCP Server, which means it retrieves data without modifying state.
lnd_skill_taxonomy_builder accepts 5 parameters: async, jobRole, industry, timeRange, skillCluster. Required: industry. 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_skill_taxonomy_builder: 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_skill_taxonomy_builder 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_skill_taxonomy_builder 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_skill_taxonomy_builder. 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_skill_taxonomy_builder 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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