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Country COVID-19 Statistics

disease.covid.country
Read-onlyIdempotent

Retrieve COVID-19 statistics for any country by name or ISO code, including cases, deaths, recoveries, and testing data.

Instructions

Get COVID-19 statistics for a specific country by name or ISO code. Returns cases, deaths, recoveries, active, critical, per-million rates, tests, population, and flag. Covers 215+ countries and territories.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
countryYesCountry name, ISO2 code, or ISO3 code (e.g. "United States", "US", "USA", "Germany", "DE")
yesterdayNoReturn yesterday's data instead of today's (default false)
strictNoUse strict name matching instead of fuzzy search (default false)

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultNoTool response payload. Shape varies per tool — consult the tool description and inputSchema. May be an object, array, string, or number depending on the upstream provider response.
errorNoPresent only when the call failed. Includes error code, message, request_id, and any provider-specific extras.
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already provide safety hints (readOnly, idempotent). The description adds return fields but no additional behavioral context like rate limits or date handling. It does not contradict annotations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two sentences with no redundancy. Front-loaded with purpose, then lists outputs. Efficient and focused.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the presence of an output schema and low complexity, the description is sufficient. It covers the tool's scope, inputs, and outputs adequately.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema has 100% parameter coverage, so the description adds minimal value. It mentions 'by name or ISO code' which aligns with schema, but does not clarify boolean defaults or provide new insights.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool retrieves COVID-19 statistics for a specific country, listing the returned metrics (cases, deaths, etc.) and coverage of 215+ countries. It distinguishes from sibling tools like disease.covid.global and disease.covid.history through specificity.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage for country-level data but does not explicitly contrast with siblings or provide when-not-to-use guidance. However, the name and listing parameters make intended usage clear.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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