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-mcp-knowledge/lnd-skill-taxonomy-builder.md
What lnd_skill_taxonomy_builder does on Mcp Knowledge
AI agents call lnd_skill_taxonomy_builder 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 |
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 reads and aggregates data from external public sources (USPTO, BLS, OECD) and generates analytical output (skill taxonomies, demand trends, competency gaps). It does not write, execute, delete, or involve financial transactions. It is purely a data retrieval and synthesis tool.
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 Mcp Knowledge, 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 Mcp Knowledge, 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 Mcp Knowledge 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 Mcp Knowledge 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 Mcp Knowledge. 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 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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