tables_db_create_boolean_column

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

No annotations are provided, so the description carries full burden. It states 'Create' implying a write/mutation operation, but doesn't disclose behavioral traits like required permissions, whether it's idempotent, error conditions, or what happens on success/failure. This is inadequate for a tool that modifies database schema.

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 extremely concise ('Create a boolean column.') with zero wasted words, making it front-loaded and easy to parse. However, it's arguably too brief given the tool's complexity, bordering on under-specification rather than optimal conciseness.

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 no annotations, no output schema, and a mutation tool with 6 parameters, the description is incomplete. It doesn't explain what the tool returns, error handling, or important behavioral aspects like side effects. For a database schema modification tool, this leaves significant gaps for an AI agent.

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 parameters are fully documented in the schema. The description adds no additional meaning about parameters beyond implying a boolean column is created. This meets the baseline of 3 where the schema does the heavy lifting.

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 'Create a boolean column' clearly states the action (create) and resource (boolean column), but it's vague about scope and doesn't differentiate from sibling tools like 'tables_db_create_string_column' or 'tables_db_create_float_column' beyond the column type. It lacks specificity about what system/database this operates on.

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?

No guidance is provided on when to use this tool versus alternatives like other column-creation tools (e.g., for different data types) or general table operations. The description doesn't mention prerequisites, constraints, or typical use cases, leaving the agent without contextual usage cues.

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