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 reveals that data is refreshed daily, that results are ranked, that in-stock status is included, and that weight, purity, and country are also returned. This is solid coverage for a read-only lookup, though failure behavior is not mentioned.

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 well-structured and front-loaded: the main purpose appears in the first sentence, followed by return details, freshness, and input format. The list of dealers is long but earns its place by defining the exact scope of the search.

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?

For a simple one-parameter tool, this description is complete: it explains what the tool returns, the input format with examples, the dealer universe, and data freshness. It could mention what happens when no price is found, but this is a minor gap given the tool's simplicity.

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 for the single 'coin' parameter is 100%, so the schema already explains the parameter. The description adds a small amount of value by mentioning 'name' as an alternative input and giving an additional example ('napoleon'), but it does not need to compensate for a coverage gap.

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 identifies the action (get best dealer price) and resource (a coin), specifies the exact set of dealers, and describes the returned ranked price list. It is specific enough to be understood, but it does not explicitly distinguish itself from siblings like compare_prices, so it stops short of a 5.

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 implies its use case: call this when you need the best dealer price for a coin and a ranked list of dealer prices. However, it provides no explicit guidance on when to prefer this tool over alternatives such as compare_prices or compare_coins, and no exclusions are stated.

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