chaprola_import_download

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

No annotations are provided, so the description must carry the full burden of behavioral disclosure. It mentions the supported formats and optional AI-powered schema inference, but omits critical details like whether the operation is read-only, requires special permissions, overwrites existing data, or has rate limits. The description only says 'import data' without explaining the impact or side effects.

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, concise sentence that front-loads the primary action ('Import data directly from a public URL') and efficiently lists formats and features. Every word adds value, with no filler or repetition.

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 (5 parameters, no output schema, no annotations), the description is too brief to be fully contextually complete. It explains what the tool does and lists formats, but fails to mention return values, error behavior, side effects, or how it differentiates from similar import tools. The schema covers parameter semantics, but the description leaves significant gaps in behavioral context.

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 100%, so all five parameters already have descriptions in the schema. The description adds a small amount of context by noting 'AI-powered schema inference', which hints at the purpose of the 'instructions' parameter, but it does not elaborate on parameter behavior or constraints beyond what the schema already provides. Baseline 3 is appropriate.

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 action ('Import data directly from a public URL') and lists specific supported formats, making it easy to understand what the tool does. However, it does not distinguish this tool from sibling tools like chaprola_import_url, which likely serves a similar purpose.

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 you have a public URL and want to import its data, which is a clear context. However, it provides no explicit when-not-to-use guidance or comparisons to alternative tools such as chaprola_import, chaprola_import_url, or chaprola_import_process. The lack of exclusions or alternatives keeps it at an implied-usage level.

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