netintel_name_gen

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

With no annotations, the description carries the full burden and discloses the generation pipeline (prefixes, suffixes, blends, phonetic patterns), the DNS availability check, and the ranked output based on a brandability heuristic. It is missing operational details such as rate limits, default TLD behavior, or failure handling, but the core behavior is well described.

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 a single dense sentence that is front-loaded with the core action and then layers on the mechanism and return behavior. It is somewhat run-on and appears truncated, but every clause adds meaningful information with no filler.

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 tool with no annotations, no output schema, and 0% schema description coverage, the description explains the core pipeline and that available names are returned ranked. However, it omits output structure details (fields, number of names, scoring format) and leaves the 'limit' parameter and default TLD unaddressed, leaving meaningful gaps.

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, but it only clarifies two of three parameters: 'keyword' as the seed input and 'tld' as the domain extension to check. The 'limit' parameter is entirely unexplained, and no defaults, formats, or constraints are provided for any parameter.

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+resource: generate brandable startup/product names from a keyword, then check TLD availability via DNS. It also names the generation techniques and the ranking heuristic, which clearly distinguishes it from sibling availability-only tools like netintel_domain_availability.

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 implied by the scenario (needing brandable names for a startup/product), but the description never explicitly says when to choose this over siblings such as netintel_domain_availability or netintel_domain_appraise. It adds some helpful context about checking any TLD, yet no alternatives or exclusions are named.

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