transform_transform_omit

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

With no annotations provided, the description carries full responsibility for behavioral disclosure. It states that the tool removes specified keys and returns both a result and omitted keys, but does not clarify whether the input dict is mutated (likely not, given the return structure) or specify behavior for missing keys. Basic transparency is present but lacks depth.

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: one sentence stating the operation and return format, with a '[transform]' prefix for categorization. Every word adds value, with no redundant information, making it easy for an agent to parse quickly.

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 simplicity (removing keys from a dict), the description provides a minimal but incomplete understanding. An output schema exists (presumably documenting return shape), but the description does not address edge cases like missing keys or non-string keys, nor does it specify that 'keys' should be a list of strings. It is adequate but lacks completeness.

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 coverage is 0%, meaning no parameter descriptions exist in the schema. The description fails to compensate: it does not explain that 'record' is the input dict and 'keys' is an array of keys to remove, nor does it specify expected types (e.g., keys should be strings). This leaves agents uninformed about parameter semantics.

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 verb 'Remove' and the resource 'dict' (dictionary), identifying the operation as removing specified keys. It distinguishes itself from sibling transform tools like 'transform_transform_pick' (keep keys) and 'transform_transform_rename' (rename keys) by explicitly mentioning removal and the return of omitted keys.

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 such as 'transform_transform_pick' or 'transform_transform_merge'. It neither specifies prerequisites nor mentions any constraints (e.g., keys must be strings), leaving the agent to infer usage solely from the operation's name.

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