tengu_v3_workforce_momentum_screen
CROSS-SECTIONAL HIRING SCREEN — rank listed employers by headcount growth between the panel's latest month and N months earlier: ticker, company, headcount then and now, percent and absolute change, latest hiring and attrition rates and average salary, sorted fastest-growing or fastest-shrinking....
This record as markdown: /tools/tengu-mcp/tengu-v3-workforce-momentum-screen.md
What tengu_v3_workforce_momentum_screen does on Tengu
AI agents call tengu_v3_workforce_momentum_screen to retrieve information from Tengu 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 |
|---|---|---|---|
limit | integer | — | |
order | string | — | |
months_back | integer | — | |
min_headcount | number | — |
Parameters from the server's own tool schema.
Why tengu_v3_workforce_momentum_screen is rated Low
Even though tengu_v3_workforce_momentum_screen only reads data, uncontrolled read access leaks sensitive information and racks up API costs: an agent caught in a retry loop can make thousands of calls a minute without anyone noticing.
Attacks that exploit this kind of access
The rule that runs tengu_v3_workforce_momentum_screen safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Tengu, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For tengu_v3_workforce_momentum_screen, this is the rule to start with:
tengu_v3_workforce_momentum_screen 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 Tengu, apply this rule, and every tengu_v3_workforce_momentum_screen call is checked against it from then on.
Questions about tengu_v3_workforce_momentum_screen
CROSS-SECTIONAL HIRING SCREEN — rank listed employers by headcount growth between the panel's latest month and N months earlier: ticker, company, headcount then and now, percent and absolute change, latest hiring and attrition rates and average salary, sorted fastest-growing or fastest-shrinking. This is the workforce factor as a screen — who is actually staffing up (or quietly shrinking) months before it reaches a filing. The monthly panel is MID-BACKFILL, so a months_back longer than the loaded window returns an explicit warning listing the lookbacks that ARE available — never a silently shortened comparison. It is categorised as a Read tool in the Tengu MCP Server, which means it retrieves data without modifying state.
tengu_v3_workforce_momentum_screen accepts 4 parameters: limit, order, months_back, min_headcount. The full parameter table on this page comes from the server's own tool schema.
Register the Tengu MCP server in PolicyLayer and add a rule for tengu_v3_workforce_momentum_screen: 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 Tengu. Nothing to install.
tengu_v3_workforce_momentum_screen 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 tengu_v3_workforce_momentum_screen 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 tengu_v3_workforce_momentum_screen. 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.
tengu_v3_workforce_momentum_screen is provided by the Tengu MCP server (Hlobo-dev/tengu-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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