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

Annotations already establish that this is a safe, read-only, idempotent operation. The description adds valuable context beyond them: newest-first ordering, per-product/all-product scope, the presence of a signed webhook announcing each change, and the required Last Price credential with routing read scope.

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 front-loaded with purpose and ordering in the first sentence, then adds only relevant operational details. It is dense but has little wasted text.

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 output schema, the description does a good job enumerating the returned data and ordering, and it covers the required credential and webhook context. It stops short of describing pagination or exact response shape, but is otherwise complete for a two-parameter list tool.

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 100%, so both parameters are already documented. The description usefully explains what status=pending means and how its id is used, but it adds little about the limit parameter beyond what the schema provides.

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 names the exact resource (learned price changes recorded for the workspace), the verb (list), ordering (newest first), and the fields returned (elasticity before/after, example price before/after, status). It is clearly distinguishable from siblings and explicitly references decide_learned_price_change.

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?

It gives a clear usage path: status=pending lists items awaiting a decision, and the id is passed to decide_learned_price_change. It does not explicitly cover when not to use this tool or name other alternatives, but the operational guidance is strong.

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