wing_vlm_analysis

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

The description discloses that errors are returned as formatted strings and that ImportError is caught. It explains the VLM theory, which adds useful context beyond the schema. However, it doesn't mention side effects, performance constraints, or whether the tool is read-only. With no annotations, the description partially covers behavioral aspects but has gaps.

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 well-structured with clear sections (Args, Returns, Raises, Note). It is somewhat verbose with the VLM technical explanation, but that adds educational value. Overall, it is reasonably concise and front-loaded with key information.

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 tool's complexity and the presence of an output schema (formatted string), the description adequately explains return format and error handling. It covers parameter details thoroughly. Minor improvement would be to include example output or units, but current content is sufficient for interpretation.

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%, yet the description compensates by detailing all keys, their types, defaults, and optionality for wing_config and flight_conditions. It adds significant meaning beyond the raw schema, which only defines top-level object types. This strongly helps an agent understand parameter usage.

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 analyzes wing aerodynamics using VLM or lifting line theory. It specifies the resource (wing configuration) and distinguishes from sibling tools like airfoil_polar_analysis or propeller_bemt_analysis, which focus on 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 does not provide explicit guidance on when to use this tool over alternatives. It mentions two methods (VLM and lifting line) but doesn't explain when to choose one. No when-not-to-use or sibling comparisons are included.

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