superset-mcp

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

No annotations are provided, so the description carries full burden. It implies a mutation ('refresh'), but doesn't disclose behavioral traits such as required permissions, whether it's idempotent, rate limits, or what happens during the refresh process. This leaves critical operational details unspecified for a tool that likely modifies data.

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 a single, efficient sentence with zero waste. It's front-loaded and appropriately sized, avoiding unnecessary elaboration while stating the core action clearly.

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 complexity of a refresh operation, no annotations, and 0% schema coverage, the description is incomplete. It doesn't explain the mutation's effects, error conditions, or the output schema's content. For a tool with one required parameter and likely side effects, more detail is needed to guide effective use.

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 must compensate. It mentions no parameters, failing to explain the 'pk' input's meaning or role in refreshing the dataset. Without this, the agent lacks context for proper invocation, making the tool harder to use correctly.

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 states the action ('refresh') and target ('dataset's columns and metrics from the source'), which is clear but vague. It doesn't specify what 'refresh' entails operationally or how it differs from sibling tools like 'update_dataset' or 'get_dataset', leaving room for ambiguity about its distinct purpose.

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?

No guidance is provided on when to use this tool versus alternatives. With siblings like 'update_dataset' and 'get_dataset', the description lacks context on prerequisites, timing, or exclusions, offering no help for an agent to choose correctly among related dataset operations.

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