tables_db_create_datetime_column

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

With no annotations provided, the description carries full burden for behavioral disclosure but offers minimal information. It states the creation action but doesn't cover permissions needed, whether this is idempotent, error conditions, or what happens on success (e.g., column creation confirmation). For a mutation tool with zero annotation coverage, this is inadequate.

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 a single, efficient sentence that front-loads the core action ('Create a date time column') and includes essential format guidance. There's no wasted wording, repetition, or unnecessary elaboration—every word serves a clear 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?

Given the tool's complexity (a mutation operation with 6 parameters), lack of annotations, and no output schema, the description is insufficient. It doesn't explain what the tool returns, error handling, or behavioral nuances like the effect of 'array' or 'required' parameters. For a create-column tool in a database context, more completeness is needed.

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%, providing clear documentation for all 6 parameters. The description adds value by specifying the ISO 8601 standard, which clarifies the datetime format context beyond the schema's mention in the 'default' parameter. However, it doesn't elaborate on parameter interactions or usage examples, so baseline 3 is appropriate.

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 ('Create') and resource ('a date time column') with specific format guidance ('according to the ISO 8601 standard'), making the purpose immediately understandable. However, it doesn't explicitly differentiate this from sibling tools like 'tables_db_create_boolean_column' or 'tables_db_update_datetime_column' beyond the column type, which prevents a perfect score.

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. It doesn't mention prerequisites (e.g., needing an existing database and table), compare it to sibling tools like 'tables_db_update_datetime_column' for modifications, or indicate typical use cases. This leaves the agent without context for tool selection.

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