read_excel_sheet

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It mentions the read operation and JSON output but fails to cover critical aspects like error handling (e.g., for invalid paths or sheet names), performance implications (e.g., for large files), or security considerations (e.g., file permissions). This leaves significant gaps in understanding the tool's behavior.

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 extremely concise and front-loaded, consisting of just two sentences that directly convey the core functionality and output. Every word earns its place, with no redundant or vague language, making it efficient and easy to parse.

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 moderate complexity (reading Excel sheets) and the absence of annotations and output schema, the description is minimally adequate. It covers the basic purpose and output format but lacks details on behavior, error handling, and usage context. This results in a score that meets the minimum viable threshold but with clear gaps.

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 input schema has 100% description coverage, with clear documentation for both parameters ('path' and 'sheet_name'). The description adds no additional semantic details beyond what the schema provides, such as examples or constraints. However, since the schema is comprehensive, a baseline score of 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 tool's purpose with a specific verb ('Read') and resource ('a specific sheet from an Excel file'), and it distinguishes the output format ('Returns data as JSON'). However, it doesn't explicitly differentiate from sibling tools like 'read_file' or 'list_excel_sheets', which prevents a perfect score.

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 no guidance on when to use this tool versus alternatives like 'read_file' (for general file reading) or 'list_excel_sheets' (for sheet enumeration). It lacks context about prerequisites, such as file accessibility or format requirements, leaving usage decisions unclear.

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