dag_design_guidance

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

No annotations provided, so description carries full burden. Mentions 'Returns expert guidance' indicating read-only nature, but lacks details on whether guidance is static/dynamic, cached, or any rate limits. Adequate but minimal behavioral disclosure.

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?

Front-loaded purpose statement followed by bulleted list of specific guidance topics. No redundant text. Each sentence earns its place by defining scope or output content.

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?

Appropriate for a zero-parameter tool with output schema. Description adequately summarizes output content (guidance topics) without needing to duplicate full schema definitions. Could improve by mentioning this requires no inputs.

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?

Zero parameters present per schema (empty object with additionalProperties: false). Per rubric, 0 params = baseline 4. Schema requires no additional semantic explanation in description.

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?

States clear verb+resource ('Get detailed guidance on designing efficient Airflow DAGs') and distinguishes from operational siblings like get_dag or create_environment via specific topic coverage (XCom, Sensors, etc.). However, does not explicitly differentiate from sibling 'airflow_best_practices' which may overlap in scope.

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?

Lists output topics but provides no guidance on when to use this tool versus 'airflow_best_practices' or other alternatives. No mention of prerequisites or when NOT to use (e.g., when seeking actual DAG code vs design guidance).

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