get_categorization_suggestions

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It mentions analyzing and suggesting, but it does not explicitly state that this is a read-only operation, whether it modifies transactions, or any prerequisites such as requiring merchant history. It adds some context about using historical data but still leaves side-effect and permission questions unanswered.

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 a single, well-structured sentence that front-loads the purpose and includes output details. Every element contributes to understanding the tool without unnecessary verbosity.

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 absence of an output schema, the description compensates by listing return fields (transaction ID, merchant, suggested category, confidence, history count). It also explains the core logic. It does not cover edge cases like empty history or default behavior, but the 100% schema coverage for parameters and moderate complexity make this reasonably complete. The lack of explicit usage guidance prevents a 5.

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?

The input schema already provides 100% coverage with descriptions for all four parameters. The description does not add additional semantic meaning beyond what the schema already gives, though it does mention 'history count' in the output, which relates to history parameters. Baseline 3 is appropriate because the schema handles parameter documentation.

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 tool's function: analyzing uncategorized and needs-review transactions and suggesting categories based on merchant history. It specifies the input scope (uncategorized/needs-review), the method (history-based), and the output fields, distinguishing it from sibling tools like get_uncategorized_summary or get_transactions_needing_review.

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 does not explicitly state when to use this tool versus alternatives. It implies usage for category suggestions, but it never mentions when not to use it or references sibling tools like get_uncategorized_summary or search_transactions. No usage 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.