tables_db_update_ip_column

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 reveals one important behavioral constraint ('Changing the `default` value will not update already existing rows'), which is valuable context for a mutation operation. However, it doesn't address other critical behavioral aspects like permissions needed, whether the operation is reversible, error conditions, or what happens to data when changing column properties.

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 brief (two sentences) and front-loaded with the core purpose. The second sentence adds important behavioral context. There's no wasted verbiage, though the structure could be slightly improved by explicitly mentioning it's for modifying IP column properties.

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 mutation tool with 6 parameters and no annotations or output schema, the description is minimally adequate. It covers the basic purpose and one important behavioral constraint, but lacks context about permissions, error handling, return values, and how this tool fits within the broader column management workflow alongside its many siblings.

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 description coverage is 100%, so the schema already documents all 6 parameters thoroughly. The description adds minimal value beyond the schema - it only mentions the 'default' parameter behavior. This meets the baseline expectation when schema coverage is high, but doesn't provide additional semantic context about parameter interactions or usage patterns.

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 ('Update an ip column') and specifies the resource type. It distinguishes from general 'update' tools by focusing on IP columns, but doesn't explicitly differentiate from other column update tools like 'tables_db_update_boolean_column' or 'tables_db_update_string_column' in the sibling list.

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. With many sibling tools for creating and updating different column types, there's no indication of when this specific IP column update tool is appropriate versus using a general update tool or creating a new column.

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