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Find project domain names

open_name_finder

Open the naming form in a compatible host, or return its text workflow. Collect seed names, an optional project brief, count and annual renewal budget; the current assistant generates ideas and checks them with the research tools. Opening performs no generation or registrar checks. Does not connect subscriptions or require a model API key.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4/5.0
Behavior4/5

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

Annotations already declare openWorldHint=true, non-readOnly, non-idempotent, non-destructive. The description adds genuinely useful context beyond them: no generation or registrar checks occur on open, no subscription connection, and no model API key required. It stops short of describing the return payload shape.

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

Conciseness4/5

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

Three tight sentences, front-loaded with the action and followed by the data collected and the non-effects. Dense but every clause carries information; no filler.

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

Completeness4/5

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

No output schema exists, yet the description covers the invocation effect, the collection step, and the boundary conditions (no key, no subscription, no checks). Minor gap is the exact nature/contents of the 'text workflow' return, but overall it is adequate for a no-param opener.

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

Parameters4/5

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

With zero schema parameters, the baseline is 4. The description helpfully enumerates what the form will collect (seed names, optional project brief, count, annual renewal budget), which compensates for the empty schema by telling the agent what inputs will be solicited.

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

Purpose4/5

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

The description states a specific action (open the naming form / return its text workflow) on a specific resource, and distinguishes itself from the sibling research tools by noting that the assistant uses those tools to generate and check ideas. 'Text workflow' is somewhat vague about what that artifact actually is, keeping it out of 5 territory.

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

Usage Guidelines4/5

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

It establishes context clearly, pointing to the research tools for generation and registrar checks and stating what opening does NOT do. It stops short of explicitly naming when to choose this over get_naming_guidance, so the alternative routing is implied rather than enumerated.

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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