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

With no annotations, the description carries the full burden of behavioral disclosure. It transparently explains the output: latest stable release for each major version, including version number, release date, and commercial license flag. It also explicitly lists which versions are included. This is sufficient for a read-only, parameterless tool, though it doesn't mention any potential error conditions or response format 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 concise and front-loaded: the first sentence immediately states what the tool does and what it returns, while the second sentence adds a practical use case. Every word earns its place, with no redundant information.

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?

For a simple parameterless tool without an output schema, the description is quite complete. It enumerates the supported versions and the fields returned, which covers the key aspects an agent needs to know. It might be slightly improved by stating the exact output format (e.g., JSON array), but the current description is adequate for the tool's simplicity.

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 tool has zero parameters, so the baseline is 4. The description doesn't need to add parameter semantics since the input schema is empty. The description focuses entirely on the output, which is appropriate.

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 tool returns the latest stable release for each supported Vaadin major version, listing the exact versions (25, 24, 23, 14, 8, 7). It specifies the output fields (version number, release date, commercial license requirement), which distinguishes it from sibling tools like get_latest_vaadin_version.

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 clear usage context by noting it is 'useful for migration planning and understanding which versions are available.' However, it does not explicitly mention alternatives or when-not-to-use scenarios, though the context implies this tool is for getting the full set of supported versions rather than a single one.

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