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

The description opens with

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 compact and front-loaded with the core create statement, then moves through return value, workflow, precondition, and auth requirement. The list of public catalog names is slightly extraneous but reinforces the 'alongside the public catalog' point without bloating the text.

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 is a mutation with no output schema, and the description covers the essentials: it states the return value (dataset_id), the auth requirement (AUTARIO_API_KEY), the privacy default, and the surrounding workflow (search first, then write_rows, query_dataset, create_chart_from_spec). This makes the description complete enough for an agent to invoke the tool correctly.

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 coverage is 100%, so the baseline is 3. The description adds only modest parameter context: it clarifies that is_public controls privacy ('private to you unless you set is_public'). The other parameters (title, category, description) are already fully documented in the schema, and the description doesn't enrich them beyond the 'empty dataset' concept.

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

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 opens with

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