set_cell_name

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

With no annotations provided, the description carries the transparency burden. It discloses the null-to-clear behavior, the display label rendering, and the chart title side effect. It does not mention error handling or permissions, but these are less critical for a simple setter.

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?

Two short sentences, each with a distinct purpose: the first states the primary action and UI context, the second covers applicability and the clear behavior. No wasted words.

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?

For a simple setter with 3 parameters and no output schema, the description covers the core functionality, the null case, and the chart-cell nuance. It lacks details on return values or errors, but those are not essential given the tool's simplicity.

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 description adds meaningful context for the 'name' parameter (display label, chart title, null to clear), but it does not clarify buffer_id or cell_id, which have no schema descriptions. With only 33% schema coverage, this is a partial gap, but the main parameter is well covered.

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 ('Set or clear') and the resource ('a cell's name'), and even adds the nuance that for chart cells it becomes the chart title. This distinguishes it from sibling cell-editing tools like set_cell_layout or set_cell_mode.

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?

It explicitly says 'Applies to any cell' and describes the special behavior for chart cells, giving clear context for when to use it. It does not name alternatives or exclusions, but the specificity of the purpose makes the appropriate scenario obvious.

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