modify_cell

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

No annotations are provided, so the description carries full responsibility. It clearly explains the tracked changes behavior, author parameter relevance only when tracked, and the document_handle for session isolation. This adequately discloses the tool's behavioral traits.

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 well-structured with a brief introductory paragraph followed by a clean argument list. It is slightly verbose (e.g., repeating defaults in prose), but every sentence adds value and is efficiently organized.

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 7 parameters and an existing output schema, the description covers core functionality well. However, it omits potential error conditions (e.g., invalid indices, read-only documents, conflict with tracked changes) and does not guarantee the cell exists. These gaps could hinder robust usage.

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 description fully compensates by explaining all 7 parameters, including defaults, indexing (0-based), and conditional use (author only for tracked=True). This adds significant value beyond the bare schema.

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 action ('Modify a table cell') with explicit detail about tracked changes vs direct overwrite. However, it does not distinguish itself from sibling tools like set_cell_shading or merge_cells, which modify cells in different ways.

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 explains when to use tracked vs direct overwrite (tracked=True/False) but does not provide guidance on when to use this tool versus alternatives (e.g., replace_text, bulk_replace_text). No explicit when-not-to-use conditions are mentioned.

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