list_generators

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

With no annotations provided, the description carries the burden of behavioral disclosure. It effectively communicates that the tool returns a list of generators with maturity and protocol capabilities, which is the core output. While it does not explicitly state read-only behavior or mention prerequisites like authentication, the verb 'lists' reasonably implies a non-destructive operation, and the included details give valuable context for the agent.

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 three sentences, each earning its place: 'START HERE' front-loads urgency, the second sentence defines the tool, and the third provides actionable guidance. There is no unnecessary detail or repetition, making it highly concise and well-structured.

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 has no parameters and no output schema, the description fully compensates by stating exactly what will be returned (list of generators with maturity and protocol capabilities) and how to proceed. The workflow guidance to call list_presets and get_generator_schema makes the description complete for correct invocation and integration with sibling tools.

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?

The input schema has zero parameters, so per the guidelines, the baseline is 4. The description appropriately does not attempt to explain nonexistent parameters but does offer examples of generator languages (javascript, python, go) that hint at the nature of the data returned, slightly enriching the schema information.

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 that the tool lists every Packkit generator with maturity and protocol capabilities, using the specific verb 'lists' and resource 'every Packkit generator.' It also distinguishes itself from sibling tools by explicitly naming follow-up actions (call list_presets and get_generator_schema), which positions its unique role in the workflow.

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 provides explicit when-to-use guidance with 'START HERE' and instructs the agent to pick a generator based on language match, then call list_presets and get_generator_schema before generating. This clearly implies this is the entry point and directs the flow to sibling tools, offering strong usage context.

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