load_excel

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

With no annotations, the description carries the full burden. It discloses key behaviors: default sheet selection when sheet_name is empty, name defaulting to filename, and the openpyxl dependency for .xlsx files. It does not cover .xls dependency or error handling, but these are secondary for a load operation.

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 compact and front-loaded with purpose. Each sentence adds value: file types, default sheet behavior, name default, dependency, and an example. No wasted words.

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?

The description is sufficient for a moderate-complexity tool with 3 parameters and an output schema. It covers the key aspects: what it loads, how sheet handling works, and a usage example. Minor gaps like .xls package requirements exist, but overall the description is complete enough for an agent to use the tool correctly.

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 compensates well: it explains the sheet_name empty behavior, name defaulting to filename, and provides an example with file_path. This adds meaning beyond the bare schema fields.

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's function: 'Load an Excel file (.xlsx, .xls) into memory.' It specifies the resource (Excel files) and the action (load), distinguishing it from sibling tools like load_csv and load_parquet.

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 provides clear context: it handles .xlsx and .xls files, and the example shows intended use. It does not explicitly mention alternatives or exclusions, but the file-type specificity makes the use case evident.

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