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

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false and openWorldHint=false, so the safety profile is covered. The description adds useful context beyond that: it is a catalog of upstream government datasets and it exposes mutable state (sync status, factor counts) that the agent would not know from the annotations alone.

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?

The English sentence is front-loaded and dense with content, packing the field list into one clause. The Chinese sentence is a verbatim translation that adds no information for an English-reading agent, a mild redundancy, though it may serve localization purposes.

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?

With zero parameters and no output schema, the description carries the burden of describing what is returned, and it does so by naming each field (dataset code, URL, licence, sync status, factor count). It stops short of noting ordering, pagination, or form, but for a small static catalog that is a minor gap.

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?

The tool takes zero parameters, so the baseline is 4; there is nothing for the description to disambiguate. The description instead specifies the response payload, which is the more valuable information for a no-argument tool.

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?

The description names a specific verb and resource ('List the official Taiwan government sources behind this service') and enumerates the returned fields (dataset codes, URLs, licence, sync status, factor counts), so an agent knows exactly what it gets. It does not explicitly contrast itself with siblings such as list_factor_versions or check_factor_updates, which keeps it short of 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?

Usage is only implied: an agent can infer this is the provenance/catalog lookup for the underlying government datasets. There is no explicit statement of when to prefer it over list_factor_versions, check_factor_updates, or search_emission_factors, and no prerequisites are mentioned.

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