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Generate candidate names, pre-checked for domain availability

generate_names
Read-only

Generate candidate names from a description, each pre-checked for domain availability. Then call check_name on the favorites for the full cross-namespace picture.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
countNo
useHacksNo
descriptionYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYes
aiUsedYes
candidatesYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.2/5.0
Behavior4/5

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

Annotations already indicate read-only and non-destructive behavior. The description adds valuable context about domain availability pre-checking and follow-up recommendation, without contradictions.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two sentences, front-loaded with the main action, no unnecessary words. Every sentence adds value.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

While purpose and guidelines are clear, the description lacks detail on parameters and does not reference the output schema. For a tool with 3 parameters and 0% schema coverage, this is insufficient.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 0%, so description must compensate for parameters. It only mentions 'description' implicitly, but does not explain 'count' or 'useHacks', leaving ambiguity for correct invocation.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states 'Generate candidate names from a description' specifying the verb and resource. It also distinguishes from the sibling 'check_name' by noting the domain pre-check and directing to use check_name for full cross-namespace details.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicitly tells when to use the tool (generate candidate names from a description) and when to use the sibling (call check_name for full picture). Provides clear guidance on workflow.

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

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