remove_columns

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

No annotations provided, so description must cover behavior. Only states 'remove columns' implying mutation but does not disclose if operation is reversible, affects the original dataframe, or any side effects on the session.

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?

Description is very short and front-loaded, but it lacks necessary details for a data mutation tool. While concise, it sacrifices completeness; additional context would improve utility without becoming verbose.

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 has two required parameters, no annotations, and is a mutation operation, the description is insufficient. It does not explain return behavior (despite output schema existing), nor does it clarify session context or column removal semantics.

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 0%, and the description adds no extra meaning beyond parameter names. It does not explain that 'session_id' identifies the dataframe session or that 'columns' is an array of column names to remove.

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?

Description clearly states the verb 'remove' and resource 'columns' from 'dataframe'. It directly conveys the primary action. However, it does not distinguish from sibling tools like 'select_columns' or 'rename_columns', missing differentiation.

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 on when to use this tool versus alternatives like 'select_columns' or 'filter_rows'. No context on prerequisites (e.g., session existence) or when removal is appropriate.

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