read_workbook

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

With no annotations provided, the description carries the full disclosure burden and does so well. It states how formula cells are represented, that cached values are included separately, and explicitly lists major omitted features such as charts, tables, and styling, pointing to MAPPING.md for full round-trip details.

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: the core behavior appears first, then the important formula edge case, then the limitation note. Each sentence contributes distinct, useful information with no redundancy or filler.

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?

Despite having no output schema, the description explains what is returned, how formulas appear, and what is intentionally excluded, and it references MAPPING.md for a full compatibility list. It could be slightly more explicit about the exact JSON layout of sheets and cell references, but it is complete enough for correct invocation.

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 single path parameter is already thoroughly documented in the schema at 100% coverage, including the required .xlsx/.xlsm format and existence requirement. The tool description's file-format mention adds no additional semantic meaning beyond the schema, so a baseline score 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 states a specific verb and resource: it reads an existing .xlsx/.xlsm workbook and returns sheets/cell contents as JSON. It also names the formula rendering convention, which further distinguishes this reader from the sibling creation/generation tools.

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 clearly implies the use case: read an existing workbook when you need its cell data as JSON. It does not explicitly name alternatives such as create_workbook for writing or generation tools for other outputs, so it lacks explicit exclusion routing but provides clear context.

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