rename_column

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

The description discloses reversibility, which is valuable for a mutation operation and partially compensates for the absence of annotations. However, it omits details such as session prerequisites, constraints on new_name, and potential impacts on dependent operations or downstream transformations.

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?

Two short sentences with no wasted words. The purpose is front-loaded, and 'Reversible' adds a relevant safety detail without bloating the text.

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 3-required-parameter mutation tool with no annotations and 0% parameter description coverage, this definition is too sparse. It lacks usage guidance and parameter semantics, relying entirely on schema titles; the output schema covers return values but not invocation details.

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%, so the description must carry parameter meaning, but it only hints at column and new_name through the verb 'rename' and says nothing about session_id. This does not sufficiently compensate for the schema gap.

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 states a specific operation and target resource: 'Rename a column in the dataset.' The action 'rename' clearly differentiates from sibling tools like drop_column or convert_column_type, though it does not explicitly name alternatives.

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 given on when to use rename_column versus related transformation tools such as convert_column_type or drop_column. The word 'Reversible' is a behavioral note, not usage direction, and no context or exclusions are provided.

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