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

With no annotations, the description carries the full burden. 'from word overlap' usefully discloses that this is a lexical-overlap heuristic rather than a trained NLI model, which shapes expectations about accuracy. However, it says nothing about determinism, input size limits, or failure behavior, and the free-trial line is commercial rather than behavioral context.

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?

One efficient sentence that front-loads the task and result labels. The trailing '🆓 5 free trial calls per signed wallet' promo is noise that does not help an agent invoke the tool correctly.

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?

A four-parameter tool with 0% schema description coverage, no annotations, and no output schema deserves more explanation than one sentence. The description never resolves the text1/text2 vs premise/hypothesis ambiguity or specifies any required input pairing, 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 coverage is 0% and there are four parameters, but the description only names premise and hypothesis, leaving text1 and text2 completely unexplained. Worse, the two pairs appear redundant, and the description does nothing to clarify which pair an agent should populate or whether both are required (required count is 0).

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?

States a specific verb (Labels) and resource (premise/hypothesis pair) and enumerates the three output labels, so an agent knows what the tool produces. It does not differentiate from near neighbors like x402-coreference or x402-text-similarity, but the classification task itself is unambiguous.

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?

No when-to-use, when-not-to-use, or alternative is named. There is no hint about how this differs from x402-coreference, x402-relation-extract, or x402-nli-style siblings, so selection is left entirely to inference.

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