tables_db_create_email_column

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. While 'Create' implies a write/mutation operation, the description doesn't address permission requirements, whether this operation is reversible, potential side effects, or what happens if a column with the same key already exists. For a mutation tool with zero annotation coverage, this represents significant gaps in behavioral understanding.

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 maximally concise at just three words, with zero wasted language. It's front-loaded with the essential action and resource, making it immediately scannable and understandable despite its brevity.

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 no annotations and no output schema, the description is insufficiently complete. It doesn't explain what the tool returns, error conditions, or behavioral nuances. Given the complexity of database column creation and the lack of structured metadata, the description should provide more operational context to be truly helpful.

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 no additional parameter information beyond what's in the schema. The baseline of 3 is appropriate when the schema does the heavy lifting, though the description could have added context about how parameters interact (e.g., the relationship between 'required' and 'default').

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 ('email column'), making the purpose immediately understandable. It distinguishes this tool from other column creation tools by specifying the column type (email), but doesn't explicitly differentiate from sibling tools like 'tables_db_create_string_column' or 'tables_db_create_url_column' beyond the email type specification.

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 multiple column creation tools available (boolean, datetime, enum, float, integer, etc.), there's no indication of when an email column is appropriate versus other column types, nor any mention of prerequisites or dependencies.

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