get_price_suggestions

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It communicates that suggestions are organized by media and sleeve condition, but it does not disclose the output structure, whether the result is a condition matrix, the source of the pricing data, or any rate-limit or authentication considerations. This is minimally transparent for a tool with no structured behavioral metadata.

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 a single focused sentence with no filler. The verb, object, and qualifying conditions are front-loaded, making the tool's purpose immediately visible without requiring the agent to parse unnecessary detail.

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 read-style tool, the description is adequate, but it is not complete. There is no output schema, so the agent is left without explicit information about the response format, and the relationship between the mentioned conditions and the returned suggestions is only implied. It is usable but leaves meaningful gaps.

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 0%, and the only parameter, releaseId, is only loosely elaborated by the phrase 'for a release.' The description does not explain how media and sleeve condition relate to the input schema, since those terms do not appear as parameters. It adds some context but does not fully compensate for the complete lack of schema-level parameter descriptions.

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 uses a specific verb ('Get'), a specific resource ('marketplace price suggestions'), and the distinguishing qualifier 'by media and sleeve condition for a release.' This makes the primary purpose clear even though it does not explicitly differentiate from sibling tools like get_marketplace_stats.

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 guidance is provided about when to use this tool versus alternatives such as get_marketplace_stats, get_release, or get_inventory. The intended use can be inferred from the name and description, but the description does not state exclusions, prerequisites, or when a different sibling would be more appropriate.

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