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

Annotations already declare read-only, idempotent, non-destructive behavior, so the bar is lower. The description adds genuinely useful context beyond them: it works without an API key and requires the catalog:read permission. The details about HTTPS-only exposure, authentication requirements, and credentials being shown only in the web console are about the templates' applications rather than the list call itself, but still informative.

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 content is front-loaded with what templates are, then downstream usage, then security/permission notes. It is dense but each clause carries real information; the HTTPS/certificate/credentials sentence is somewhat tangential for a pure list operation but not wasted.

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?

With no parameters and no output schema, the description does the heavy lifting by explaining what the templates contain and how they are used downstream. It stops short of describing the returned fields (e.g., that templates carry an id/name/model), which would fully close the loop for an agent consuming the list.

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?

This tool takes zero parameters, so the baseline is 4. The templateId/templateModel mentions refer to parameters of sibling tools (quote_server/create_server), not this one, and correctly do not create confusion about arguments to provide here.

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 identifies the resource ('Ready-to-use machines: the application installed at creation') and enumerates the concrete templates (JupyterLab, Ollama + Open WebUI, vLLM, ComfyUI, PyTorch), which lets an agent distinguish it from siblings like gpucloud_list_images or gpucloud_list_products. The 'list' action itself is only implied by the topic and title rather than stated as a verb.

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?

It shows the downstream path ('Pass templateId... to gpucloud_quote_server / gpucloud_create_server'), which implies this tool is the discovery step before creating a server, and notes 'Works without a key.' However, it never explicitly states when to call this vs. alternatives such as gpucloud_list_images, leaving usage to inference.

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