get_row

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

With no annotations, the description carries full burden. It indicates a read operation ('get') and mentions return of 'all cell values', but does not disclose error handling, permissions, or side effects. Adequate for a simple fetch, but lacks depth.

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?

Single sentence, no fluff, front-loaded with verb and resource. Every word serves a purpose.

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 the core functionality but omits explanations for optional parameters (use_column_names, value_format) and error scenarios. With only 0% schema coverage, more detail would be beneficial for full agent autonomy, though output schema may mitigate some gaps.

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?

Despite 0% schema description coverage, the description clarifies that row_id_or_name can be an ID or name, and that the result includes all cell values. This adds meaning beyond parameter names, partially compensating for missing schema descriptions. However, use_column_names and value_format are not explained.

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 (get), resource (specific row from a table), and scope (by ID or name, with all cell values). It effectively distinguishes from siblings like list_rows (multiple rows) and get_table (table metadata).

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 implies usage for fetching a single row by ID or name, but lacks explicit guidance on when to use alternatives (e.g., list_rows for multiple rows, get_table for table info). No when-not or alternative tool suggestions are given.

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