airfoil_polar_analysis

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

With no annotations provided, the description carries full behavioral disclosure. It discloses that errors are returned as formatted strings, not thrown, and mentions 'database or advanced methods' but does not elaborate on computational cost, side effects, or whether the tool is read-only. This provides basic but incomplete transparency.

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 relatively concise: a one-sentence purpose followed by structured Args/Returns. It front-loads the key action. Minor redundancy could be removed, but overall it is efficiently 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?

Given the tool complexity (4 parameters, output schema exists), the description covers purpose, parameters, returns format, and error handling. However, it lacks details like the source of 'advanced methods', typical use cases, or computational intensity, which would make it more complete for agent decision-making.

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%, but the description adds an 'Args' section explaining each parameter with examples (e.g., 'NACA2412' for airfoil_name) and defaults (e.g., alpha_range_deg defaults to [-10,20] deg). This adds significant meaning beyond the raw schema, though there is a slight discrepancy with the schema default of null for alpha_range_deg.

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 'Generate airfoil polar data (CL, CD, CM vs alpha) using database or advanced methods', providing a specific verb ('generate'), resource ('airfoil polar data'), and the coefficients involved. It distinguishes from sibling tools like 'get_airfoil_database' (retrieval) and 'wing_vlm_analysis' (3D wing analysis) by focusing on 2D polar generation.

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 versus alternatives like 'get_airfoil_database' or 'wing_vlm_analysis'. While it implies usage for generating polar data, it lacks criteria for selection, exclusions, or prerequisites, leaving the agent to infer usage context.

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