insert_row

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It mentions 'null value handling' and 'Returns insertion result with before/after statistics,' which adds some behavioral context beyond basic functionality. However, it doesn't cover important aspects like error conditions, performance implications, whether the operation is atomic, or what specific statistics are returned. The description provides moderate transparency but leaves gaps for a mutation tool.

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 appropriately concise with three sentences that each add value: the core functionality, supported formats, and return information. It's front-loaded with the main purpose and avoids redundancy. While efficient, the second sentence could be slightly more structured for clarity.

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 the tool has an output schema (which handles return values), 100% schema description coverage, and no annotations, the description provides adequate context for a row insertion operation. It covers the core action, data format support, and mentions return statistics. For a mutation tool with good schema coverage and output schema, this is reasonably complete, though it could benefit from more behavioral details.

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 input schema has 100% description coverage, so the schema already documents both parameters thoroughly. The description adds value by explaining the semantic meaning of 'multiple data formats' and clarifying that 'dict, list, and JSON string' are supported, which complements the schema's technical specification. However, it doesn't provide additional syntax examples or format details beyond what's implied by the 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 tool's purpose: 'Insert new row at specified index with multiple data formats.' It specifies the verb ('Insert'), resource ('new row'), and scope ('at specified index'), but doesn't explicitly differentiate from sibling tools like 'add_column' or 'update_row' which might have overlapping functionality. The purpose is clear but lacks sibling distinction.

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 provides no guidance on when to use this tool versus alternatives like 'add_column' or 'update_row'. It mentions supported data formats but doesn't indicate prerequisites, constraints, or typical use cases. There's no explicit 'when-to-use' or 'when-not-to-use' information, leaving the agent to infer usage from context alone.

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