Batch categorization

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

Annotations already indicate this is not read-only, not idempotent, and not destructive. The description adds useful operational context beyond annotations: a batch limit of one hundred items, a cost/credit side effect, and the fact that each item returns a confidence score. This helps the agent anticipate real-world consequences.

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 compact and front-loads the most important information: batch size, taxonomy relationship, and cost. The sentence is a bit run-on, but every part contributes useful information without repetition or filler.

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?

The description covers key operational details like the 100-item limit, cost, and confidence output, and the schema covers most parameters. It is incomplete because it does not differentiate the tool from closely related siblings and does not explain the optional instructions parameter, which lacks schema documentation.

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 high at 75%, and the description adds helpful examples of item types and the 100-item batch limit. However, it does not clarify the optional 'instructions' parameter or add much meaning beyond what the schema already provides for items, taxonomy, and multi.

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 indicates that the tool categorizes up to one hundred items against a user-supplied taxonomy and that it works for products, transactions, and tickets. It does not explicitly distinguish itself from sibling tools like parserail_classify, but the core purpose is specific and understandable.

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 phrase 'Up to a hundred items ... in one call' implies this is for batch categorization, and 'Costs credits from the account wallet' signals a cost consideration. However, there is no explicit guidance about when to choose this over parserail_classify, parserail_match, or other closely related sibling tools.

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