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

No annotations are provided, so the description carries the full behavioral burden, and it discloses nothing: no mention of what the AI returns, cost/auth requirements, latency, or how 'diff' and 'text' are meant to interact. The only content is the tautological restatement of the title.

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?

It is short and front-loaded, but the two halves are redundant ('AI Diff Review' vs 'Review a code diff with AI'), so brevity here reflects under-specification rather than efficient density.

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?

With no annotations, no output schema, two ambiguous optional inputs, and a 24-word description, the definition is nowhere near complete for an agent to call this correctly. There is no output description, no input-format guidance, and no behavior contract.

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 description coverage is 100% (two params, 'diff' = Diff to process, 'text' = Text to process), so the baseline is 3 even though the description adds no parameter detail. It notably does not resolve the ambiguity between the two similarly-described optional inputs.

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 merely restates the name: 'AI Diff Review: Review a code diff with AI.' It does confirm the verb (review) and resource (code diff), but adds no scope, no output character, and no differentiation from near-identical siblings such as x402-ai-code-review, x402-text-diff, or x402-json-diff.

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?

There is no guidance on when to use this tool versus the many other review/diff/AI siblings, no prerequisites, and no exclusions. An agent has nothing to route on.

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