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

Annotations already declare readOnlyHint=true and destructiveHint=false, so the tool is known to be safe. The description adds methodology (DuPont-style analysis) and output type (similarity scores, risk assessment), which provides some behavioral context beyond the annotations. However, it does not disclose potential limitations, data sources, or scope nuances, so transparency is adequate but not rich.

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 description is two sentences, front-loaded with the core purpose, and contains zero wasted words. Every sentence earns its place: the first states the function, the second summarizes the output.

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?

Given the tool has an output schema, annotations, and a clear two-sentence description, it is reasonably complete for a pairwise comparison tool. The description covers what it does and what it returns. It could benefit from clarifying the relationship to run_dupont_analysis or the jurisdictional scope, but these are not critical gaps given the existing structured metadata.

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 schema covers 100% of parameters with descriptions, so the baseline is 3. The description does not add meaningful semantic details beyond the schema; it simply reiterates that two marks are compared. The nice_classes parameter is already described as 'Nice classes for overlap analysis,' and the description adds no clarification about mark formats or analysis scope.

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 clearly states the tool's function: compare two trademarks for likelihood of confusion using DuPont-style analysis. It names the specific resource (two trademarks) and the analytical approach, which distinguishes it from siblings like get_similar_marks or phonetic_search. However, it does not explicitly differentiate from the closely related sibling run_dupont_analysis, which may perform a similar role, so not a full 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?

The description implies usage when a user needs to compare two specific trademarks for confusion risk, but it does not explicitly state when to use this tool over alternatives such as run_dupont_analysis or get_similar_marks. No exclusions or alternative recommendations are provided, leaving the choice ambiguous among similar tools.

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