read_data_from_excel

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

The description explains the return format (JSON with cell details and validation), adding value beyond the annotations' readOnlyHint. However, it omits limitations such as file size or unsupported features like formatting, which would improve 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 compact with a clear purpose statement and bullet list for parameters. Every sentence adds value, and the return description is included without redundancy.

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?

While the output schema is referenced and parameters are explained, the description lacks details on error scenarios, prerequisites, and the exact behavior of preview_only, leaving some gaps for an agent.

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?

With 0% schema description coverage, the tool description effectively compensates by listing each parameter and its role, clarifying defaults and optional behavior (e.g., end_cell auto-expands, start_cell defaults to A1).

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 reads data from an Excel worksheet including cell metadata and validation rules, distinguishing it from sibling read tools like get_data_validation_info which only retrieve validation rules.

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?

No guidance is provided on when to use this tool versus alternatives. It does not specify prerequisites, exclusions, or context for use, leaving the agent without clear decision support.

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