qlty_distinctCategories

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

With no annotations provided, the description carries the full burden. It implies a read-only operation ('Get') and describes the return type ('ResponseType: formatted response with query results + metadata'). This is adequate but lacks details on permissions, side effects, or limitations.

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 short and front-loaded with the purpose. It lists arguments and returns in a clear format without extraneous text. However, it could be slightly more structured (e.g., using bullet points or a table).

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 the simple function (3 required parameters, no output schema, no annotations), the description covers the essentials. However, it could be more complete by clarifying what 'categories' means (e.g., distinct values for categorical columns) or the expected output format.

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 description coverage is 0%, so the description compensates by listing all three parameters with meaningful explanations: 'name of the database', 'table name to analyze', 'column name to analyze'. This adds substantial value beyond the schema's bare titles.

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's purpose: 'Get the destinct categories from column in a table.' It uses a specific verb ('Get') and resource ('distinct categories from column'), which distinguishes it from sibling tools like qlty_columnSummary or qlty_missingValues that analyze different aspects.

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 no guidance on when to use this tool versus alternatives. It does not mention conditions, prerequisites, or exclusion criteria. The agent must infer usage from the tool name alone.

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