dedupe_items_v1_enrich_dedupe_post

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

There are no annotations, so the description carries the full burden. It only mentions fuzzy matching and a cost of 1 credit per request, but does not disclose what the tool returns, whether it has side effects, rate limits, or other behavioral traits. For a tool with no annotation coverage, this is a significant gap.

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, consisting of two sentences. The first sentence delivers the core purpose and mechanism, and the second covers cost. There is zero wasted wording, and the most important information is front-loaded.

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 tool is simple with a rich schema, but there is no output schema and the description does not explain what the tool returns (e.g., a list of duplicates, clusters, or a count). An agent would have to guess the output format. Cost is mentioned, but the lack of return-value clarification leaves it incomplete.

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 both items and threshold, including examples and a default. The tool description adds no additional parameter context beyond what the schema already states. Baseline 3 applies since schema does the heavy lifting.

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 verb ('identifies') and a clear resource ('duplicates within a list of strings'), with the mechanism ('fuzzy matching logic') also mentioned. It is immediately understandable, but it does not explicitly differentiate itself from the sibling match_endpoint tool, which could also involve similarity matching, so it loses a point on sibling distinction.

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 tool description itself provides no usage guidance or alternatives. However, the schema's items parameter description adds 'USE THIS TOOL to clean lists of names, companies, or products.' which gives a clear use case but does not contrast with alternatives or specify when not to use it. This indirect guidance lifts it from a 2 to a 3.

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