get_user_profile_categories

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It covers the read-only nature implicitly via 'Retrieves', lists the return metadata (category names, contained workbooks, view counts, favorites), and mentions pagination support. It does not disclose potential errors or rate limits, but for a public data retrieval this is sufficient.

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 long, each adding value: purpose, return details, and a use case. It is front-loaded with the main verb and resource, contains no redundant phrasing, and is easy to scan.

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?

The tool has no output schema and no annotations, so the description must explain the return shape. It does so by listing key metadata fields and pagination support. It lacks explicit notes on response format or errors, but for a straightforward retrieval with three parameters, it is reasonably complete.

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?

Context signals indicate schema description coverage is 0%, so the description must compensate. It mentions 'startIndex and pageSize parameters' but does not explain their individual meanings, defaults, or constraints. The username parameter is only implied by 'user' in the description. This is insufficient compensation for the lack of schema-level descriptions.

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 begins with 'Retrieves workbook categories for a Tableau Public user,' which uses a specific verb and resource, clearly distinguishing it from sibling tools like get_user_profile or get_workbooks_list. It also states what is returned, making the purpose unambiguous.

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 a use case ('Useful for understanding how a user organizes their content') but does not explicitly state when to use this tool versus alternatives or when not to use it. There is no mention of sibling tools or exclusion criteria, so only implied usage is present.

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