global-health-covid.epidemiology.location_history
Get the full daily historical COVID-19 time series for one location, optionally windowed by start_date/end_date. Returns a curated subset of core fields per day: cases, deaths, hospitalizations, and vaccination totals (both new and cumulative), plus population. Does NOT return the raw upstream da...
This record as markdown: /tools/io-github-whiteknightonhorse-apibase/global-health-covid.epidemiology.location-history.md
What global-health-covid.epidemiology.location_history does on Apibase
AI agents call global-health-covid.epidemiology.location_history 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 |
|---|---|---|---|
end_date | string | — | Filter history to dates on/before this ISO date, format "YYYY-MM-DD". Omit for full history. |
start_date | string | — | Filter history to dates on/after this ISO date, format "YYYY-MM-DD". Omit for full history. |
location_key | string | Yes | Location key from the dataset, e.g. "US" (country), "US_CA" (state), or a deeper key discovered via global-health-covid.location_search. |
Parameters from the server's own tool schema.
Why global-health-covid.epidemiology.location_history is rated Low
Retrieves historical epidemiological data with no side effects or modifications.
From the tool's definition Get the full daily historical COVID-19 time series for one location, optionally windowed by start_date/end_date.
Risk signalsBulk/mass operation — affects multiple targets
Attacks that exploit this kind of access
The rule that runs global-health-covid.epidemiology.location_history 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 global-health-covid.epidemiology.location_history, this is the rule to start with:
global-health-covid.epidemiology.location_history 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 global-health-covid.epidemiology.location_history call is checked against it from then on.
Questions about global-health-covid.epidemiology.location_history
Get the full daily historical COVID-19 time series for one location, optionally windowed by start_date/end_date. Returns a curated subset of core fields per day: cases, deaths, hospitalizations, and vaccination totals (both new and cumulative), plus population. Does NOT return the raw upstream dataset which includes 700+ demographic/policy/search-trend columns. Use global-health-covid.location_search first to find a valid location_key. Data: Google "COVID-19 Open Data" (storage.googleapis.com/covid19-open-data), no auth required. HISTORICAL DATA ONLY — coverage ends ~2022-09, frozen dataset. It is categorised as a Read tool in the Apibase MCP Server, which means it retrieves data without modifying state.
global-health-covid.epidemiology.location_history accepts 3 parameters: end_date, start_date, location_key. Required: location_key. 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 global-health-covid.epidemiology.location_history: 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.
global-health-covid.epidemiology.location_history 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 global-health-covid.epidemiology.location_history 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 global-health-covid.epidemiology.location_history. 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.
global-health-covid.epidemiology.location_history 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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