vk_put_projects_e1453aec58d3

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

With no annotations, the description must disclose behavioral traits, and it does add key context: authentication is required, the body is a JSON payload, and parameters accept camelCase/snake_case aliases. However, it does not describe side effects beyond 'creates', nor error behavior or return format. These gaps keep it at a standard, minimally-viable level.

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 five sentences, with the purpose front-loaded and each sentence adding necessary detail: the endpoint, the action, the body, parameter conventions, and authentication. There is no redundant or filler content, making it highly efficient.

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 raw REST proxy with three parameters and no output schema, the description covers the endpoint, required authentication, how to pass parameters (including aliases), and the nature of the operation. It does not explicitly state the return value or clarify the schema inconsistency where id/view are marked 'Required' in descriptions but omitted from the required array, but the REST path implies their necessity. Overall, it is fairly complete for its complexity.

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?

Schema coverage is 100%, so the baseline is 3. The description adds value by explaining the body parameter is a JSON request payload and that path/query parameters are top-level fields with alias handling. This goes beyond the simple schema descriptions, which only label id/view as 'Required' and body as 'The bucket object'.

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 opens with 'Create a new bucket' and reiterates 'Creates a new kanban bucket on a project.' This gives a specific verb and resource, and the REST endpoint clarifies the exact action. It distinguishes itself from sibling proxy tools by focusing on bucket creation on a project view.

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 context: this is for creating a bucket on a project view, which implies when it should be used. It does not explicitly exclude alternatives or name other tools, but the endpoint and purpose are unambiguous. Given the long sibling list, a more explicit distinction would help, but the context is sufficient.

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