execute_dax_query

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It only mentions returning tabular results, but does not disclose whether the operation is read-only, any required permissions, error behavior, or other side effects. This is a significant gap for a query execution tool.

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, front-loaded sentence that directly states the primary action and outcome. There is no wasted wording, making it highly concise and clearly structured.

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 description is minimal and does not provide enough context for the agent to understand when to use the tool, parameter semantics, or behavioral implications. Although an output schema exists, the lack of annotations and usage guidance leaves the description incomplete for effective tool selection and invocation.

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 input schema has 0% description coverage, and the description does not compensate by explaining any of the parameters. It does not clarify what dataset_id, query, or workspace_id mean or how they relate. The only clue is 'DAX query' implying the query parameter, but it does not provide meaningful semantic detail.

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 action: 'Execute a DAX query against a dataset' and specifies the output ('return tabular results'). This distinguishes it from sibling tools such as list_datasets, refresh_dataset, and export_report, which serve different purposes.

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 implies usage when a DAX query needs to be executed, and it is clear from context that this is the only tool for that purpose. However, it does not explicitly state when to use it versus alternatives, nor does it mention any prerequisites or exclusions.

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