tables_db_create_url_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. 'Create a URL column' implies a mutation operation, but it doesn't specify permissions required, whether the creation is reversible, potential side effects, or what the response looks like. For a tool with 6 parameters and no annotations, this is a significant gap in transparency.

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 with a single sentence 'Create a URL column.' It's front-loaded and wastes no words, though this brevity contributes to gaps in other dimensions. Every word serves a purpose, earning a high score for 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 the tool's complexity (6 parameters, mutation operation), lack of annotations, and no output schema, the description is incomplete. It doesn't address behavioral aspects, usage context, or output expectations. For a tool that modifies database structure, more detail is needed to guide an AI agent effectively.

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 schema description coverage is 100%, so the schema already documents all 6 parameters with descriptions. The description adds no additional meaning beyond what the schema provides, such as explaining relationships between parameters (e.g., how 'default' interacts with 'required') or usage examples. Baseline 3 is appropriate when 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 URL column' states a clear verb ('Create') and resource ('URL column'), but it's vague about the scope and doesn't distinguish from sibling tools like 'tables_db_create_string_column' or 'tables_db_create_email_column'. It doesn't specify this is for database tables or mention the context implied by the tool name.

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., 'tables_db_create_string_column'). It doesn't mention prerequisites, such as needing an existing database and table, or exclusions like when not to use it. The description offers no contextual usage information.

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