mcp-creator

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It states the tool's purpose but doesn't describe what happens when a name is available vs. unavailable, whether there are rate limits, authentication requirements, or what the response format looks like. The description adds basic context but lacks operational details.

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 perfectly concise with two clear sentences that each serve distinct purposes: stating the tool's function and providing usage guidance. There's zero wasted language, and the information is front-loaded with the core purpose.

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's simple purpose (checking name availability), single parameter, and the presence of an output schema (which handles return values), the description provides adequate context. It covers the 'why' and 'when' effectively, though more behavioral details would be beneficial since annotations are absent.

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?

With 0% schema description coverage and only one parameter, the description adds meaningful context by specifying this checks 'package name' availability on PyPI. While it doesn't detail parameter constraints (like naming conventions or length limits), it provides essential semantic context beyond the bare schema.

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 specific action ('Check if a package name is available') and the target resource ('on PyPI'). It distinguishes from siblings by focusing on name availability verification rather than package creation, building, or publishing.

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 states when to use this tool ('Call this first before scaffolding'), providing clear sequencing guidance. It implies an alternative workflow (using it before the 'scaffold_server' sibling tool) and establishes a prerequisite context for package creation.

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