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

Annotations already declare readOnlyHint=true, destructiveHint=false, and openWorldHint=false, so the safety profile is covered. The description adds one useful behavioral detail beyond annotations – that splitting produces additional columns rather than mutating the original in place – but says nothing about output shape, ordering, or how existing column names are handled.

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?

A single well-formed sentence with the action front-loaded and no filler. It is efficient, though arguably under-sized for a tool with five parameters and zero schema documentation.

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 5-parameter data-transform tool with 0% schema coverage and no output schema, one sentence is not enough. The description never explains what 'format' does, how 'new_names' maps to produced columns, or what the return value looks like, so an agent cannot confidently construct a call.

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 the burden, and it only implicitly gestures at 'column' and 'delimiter'. The 'format' and 'new_names' parameters are completely unaddressed, and 'data' is unexplained, leaving most of the 5-parameter surface undocumented.

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 gives a specific verb (split), a specific resource (one column), and the mechanism (on a delimiter, into new columns), so the operation is unambiguous. It never references the sibling tools (clean_table, column_stats, convert_table), so an agent gets no help distinguishing it from related table transforms.

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 states what the tool does but says nothing about when to reach for it, when not to, or which sibling to prefer instead. With three plausible alternatives (clean_table, convert_table, column_stats) in scope, this omission forces the agent to guess.

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