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

No annotations are provided, so the description carries the full behavioral burden, and it does disclose substantive caveats: coverage tiers (full/partial/thin/very-thin), stale cutoff dates with examples, and the resulting invalidity of negative matches. It does not cover auth/permission requirements or rate limits, so it stops short of a 5.

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?

It is front-loaded with the returned fields, then the usage rule, then the parameter semantics — a sensible order with little waste. The field enumeration and the parenthetical date examples are dense but each item earns its place; it is slightly long but not padded.

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 no output schema and one undocumented parameter, the description supplies both the return-field inventory and the parameter meaning, plus the interpretive rule for stale/incomplete coverage. An agent has everything it needs to call this correctly and use the result to gate later calls.

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 coverage is 0%, so the description must compensate, and it does: country is defined as an ISO 2-letter code with examples (US/CN/KR/BR/…) and the default behavior (empty returns all jurisdictions). This fully documents the single parameter beyond the bare schema, though it adds no format edge cases.

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 states a specific verb and resource (query One1's per-jurisdiction data coverage) and enumerates exactly what the response contains: text line counts, data cutoff date, coverage tier, whether clearance conclusions are valid, graphic-library searchability, and plan threshold. This clearly separates it from the sibling search tools (trademark_text_search, graphic_trademark_search, etc.), which it is meant to precede.

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?

It gives explicit sequencing guidance ('check the target jurisdiction's ability to support a conclusion before calling other tools') and a concrete exclusion rule: when scope≠full or data_as_of is stale, a 'no match' does not mean the mark is registrable. This tells the agent both when to use it and how to interpret downstream results.

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