get_last_row

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

With no annotations, the description must carry safety and behavior info. It discloses the return format (JSON with 1-based row number) but does not specify behavior with blank cells, empty columns, or whether it scans the entire column or stops at the first blank. This ambiguity may mislead.

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 structured with Args and Returns sections. No superfluous information, and the default column value is included efficiently.

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 tool, the core purpose and args are covered. However, edge-case behavior around empty cells is not addressed, which is relevant given the tool's core function. The output schema existence reduces need to detail return values, but the behavioral gap remains.

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 coverage is 0%, so the description is the only source of parameter semantics. It explains each parameter, including the column letter default 'A', which adds value beyond the schema's property names.

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 opens with a clear verb and object: 'Find the last row with data in a column.' This specifies the action and resource, distinguishing it from sibling read tools like read_cells and batch_read.

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?

There is no explicit guidance on when to use this tool versus alternatives. The description implies its use case, but does not mention exclusions or sibling tools.

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