get_grid_view

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

With no annotations provided, the description fully carries the behavioral burden and does so admirably. It discloses read-only behavior, cached vs formula value modes, pagination caps, truncated flags, merged-cell handling, anchors, and STALE_ANCHOR failure semantics.

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 dense but every sentence adds value, and the main purpose is front-loaded. It is organized into clear thematic chunks: output shape, location/values behavior, pagination, anchors, and a pairing suggestion.

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 covers both the input semantics and the output structure, including details like formula markers, merged ranges, truncation flags, and the anchor token. Despite an output schema existing, the description still adds necessary context and leaves little for an agent to guess.

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%, so the description must explain parameters, and it does. It explains location defaults to the used range, values modes ('cached' vs 'formula'), and max_rows/max_cols pagination caps. The meaning of path and sheet is self-evident from names and types.

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: a compact, token-efficient projection of a sheet or range. It clearly distinguishes itself from a per-cell JSON dump and names its output components, so an agent can tell it apart from read_range or get_cells.

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 gives clear context: use it to see the grid compactly, read-only, and while the file is open in Excel. It also suggests pairing with apply_edits for editing, but it does not explicitly state when to choose this over alternatives like read_range or get_cells.

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