import_excel

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

With no annotations, the description carries the transparency burden. It discloses the full pipeline (validate → map → normalize → detect duplicates → persist → report), making side effects clear. However, it does not mention idempotency, error handling, or required permissions, which would be useful.

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 concise and well-structured: purpose, pipeline overview, Args section, and Returns section. Every sentence adds information, with no redundancy or wordiness.

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 one parameter and an output schema, the description sufficiently explains inputs and outputs. It mentions the return contains statistics (total, successful, failed, duplicate rows), which aligns with the pipeline. No major contextual gaps remain.

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?

The schema has only one parameter (file_path) with no description (0% coverage). The description compensates fully by explaining 'Absolute path to the .xlsx file on the server filesystem', providing exact semantics beyond the schema.

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 'Import student data from an Excel (.xlsx) file' and enumerates the pipeline steps, distinguishing it from sibling tools like validate_excel and get_import_status. The verb 'import' and specific resource make the purpose unambiguous.

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 (for importing student data) but does not explicitly state when to use this tool versus alternatives like validate_excel or get_import_status. It also lacks explicit prerequisites or conditions, such as requiring a valid xlsx file path.

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