abs.economy.labour_force
Retrieve Australian labour market statistics from the ABS Labour Force Survey (LF). Returns monthly seasonally adjusted data on unemployment rate (%), number of employed persons (thousands), participation rate (%), total labour force size, or civilian population aged 15+. Breakdowns available by ...
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What abs.economy.labour_force does on Apibase
AI agents call abs.economy.labour_force to retrieve information from Apibase 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 |
|---|---|---|---|
sex | string | — | Sex breakdown. persons = total (male + female), males or females for gender-disaggregated data. Defaults to persons. |
last_n | integer | — | Number of most-recent monthly observations to return (1–60, up to 5 years). Defaults to 12 (1 year). |
region | string | — | Geographic region. australia = national aggregate, or specify an Australian state/territory abbreviation: nsw (New South Wales), vic (Victoria), qld (Queensland |
measure | string | — | Labour market indicator. unemployment_rate = % of labour force unemployed, employed = number of employed persons (thousands), participation_rate = % of civilian |
adjustment | string | — | Statistical adjustment. seasonally_adjusted is recommended for comparing months, trend is a smoothed version for long-term analysis, original is the raw survey |
Parameters from the server's own tool schema.
Why abs.economy.labour_force is rated Low
Tool only retrieves publicly available statistical data with no side effects.
From the tool's definition Retrieve Australian labour market statistics from the ABS Labour Force Survey
Attacks that exploit this kind of access
The rule that runs abs.economy.labour_force safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Apibase, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For abs.economy.labour_force, this is the rule to start with:
abs.economy.labour_force 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 Apibase, apply this rule, and every abs.economy.labour_force call is checked against it from then on.
Questions about abs.economy.labour_force
Retrieve Australian labour market statistics from the ABS Labour Force Survey (LF). Returns monthly seasonally adjusted data on unemployment rate (%), number of employed persons (thousands), participation rate (%), total labour force size, or civilian population aged 15+. Breakdowns available by sex (persons/males/females) and geography (Australia national or individual states and territories). Source: ABS Cat. 6202.0, CC BY 4.0. It is categorised as a Read tool in the Apibase MCP Server, which means it retrieves data without modifying state.
abs.economy.labour_force accepts 5 parameters: sex, last_n, region, measure, adjustment. The full parameter table on this page comes from the server's own tool schema.
Register the Apibase MCP server in PolicyLayer and add a rule for abs.economy.labour_force: 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 Apibase. Nothing to install.
abs.economy.labour_force 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 abs.economy.labour_force 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 abs.economy.labour_force. 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.
abs.economy.labour_force is provided by the Apibase MCP server (apibase-mcp-client). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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