covid_country

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

No annotations are provided, so the description carries the full burden. Naming disease.sh as the source is a useful hint about data provenance, but the description says nothing about which statistics are returned, freshness/lag, rate limits, or error behavior for an unknown country.

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

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

A single front-loaded sentence with no filler. The verb, resource, scope, and data source all appear before any padding.

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

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

For a one-parameter lookup with no annotations and no output schema, the definition is minimally adequate but leaves the return shape unstated and gives no fallback behavior for invalid country names. Acceptable for a simple read, but not thorough.

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

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

Schema description coverage is 100% and there is exactly one required parameter, so the schema already documents the 'country' argument and its example values. The description adds no format or naming rules (e.g. ISO code vs common name) beyond what the schema states, so baseline 3 applies.

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

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

States a specific verb ('Get'), resource ('COVID-19 statistics'), and scope ('for a specific country'), which cleanly separates it from covid_global and covid_vaccine. It also names the upstream source (disease.sh). It stops short of explicitly routing to those siblings, so a 4 rather than a 5.

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

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

There is no when-to-use guidance, no mention of alternatives (covid_global for worldwide figures, covid_vaccine for vaccination data), and no prerequisites. Usage is only implied by the tool name and the single country parameter.

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