vk_get_projects_7a3678e824df

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

With no annotations provided, the description carries the full transparency burden. It discloses key behaviors: returns buckets belonging to the project, buckets are sorted by `position` ascending, the endpoint usually needs no request body, and authentication is required. It does not describe the response format or error behavior, but for a read-only GET this is solid coverage.

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 front-loaded and every sentence conveys useful information, but at nine sentences it is somewhat longer than necessary. It efficiently covers purpose, REST endpoint, return behavior, sorting, alternative usage, request body, parameter aliases, and authentication without redundancy.

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 two simple parameters, 100% schema coverage, and no output schema, the description is highly complete. It explains the resource, the endpoint, sorting behavior, the alternative endpoint for tasks, parameter aliases, request body expectations, and authentication. It could mention pagination or response shape, but these are not critical for a simple list endpoint.

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 schema already provides 100% coverage with descriptions for `id` and `view`. The description adds valuable semantics beyond the schema by explaining that 'Path and query parameters are top-level fields' and that 'Original parameter names also accept camelCase and snake_case aliases.' This clarifies how to pass parameters, which is not evident from the schema alone.

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 a specific verb and resource: 'Get all kanban buckets of a project.' It further distinguishes itself from sibling tools by naming the exact REST endpoint (GET /projects/{id}/views/{view}/buckets) and providing an alternative for a related use case ('To get all buckets with their tasks, use the tasks endpoint with a kanban 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 clearly states what the tool does and gives an explicit alternative for retrieving tasks within buckets. It also notes that the endpoint 'does not usually require a request body' and that 'Authentication is required,' but it does not explicitly enumerate when not to use this tool beyond the alternative.

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