get_naming_methodology

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

Annotations already declare readOnlyHint=true and destructiveHint=false. The description adds meaningful context: operation is free, no quota, publicly accessible, and includes a legal disclaimer. All disclosed behaviors align with annotations.

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 well-structured with a clear 'Use this tool when' list and additional operational details. It is longer than strictly necessary but every sentence adds value, covering purpose, usage, access, and disclaimer.

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 simple read-only tool with one optional parameter and no output schema, the description covers purpose, usage, access constraints, and legal caveats. It fully satisfies contextual needs without requiring explanation of return values.

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 100%: the only parameter (section) has an enum and description. The description reinforces that section is optional and references the five axes, but it doesn't provide new parameter semantics beyond what the schema already defines. Baseline 3 is appropriate.

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 returns the public Etymolt verification methodology, specifying that it covers five axes. It distinguishes itself from sibling tools like verify_brand_name and compare_brand_names by focusing on methodology rather than name-level operations.

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 explicitly lists multiple user scenarios ('Asks how does this verification work?', 'Wants to cite Etymolt's analysis') and an inline-quote use case. It adds operational context (free, no quota) and refers to the public URL for direct linking, though it doesn't name alternative tools explicitly.

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