shop_app_analysis

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

No annotations are provided, so the description must fully disclose behavior. It states it analyzes and returns a snapshot, but does not mention whether it modifies data, requires authentication, has rate limits, or what happens on failure. The lack of behavioral context is a significant gap.

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 two sentences long, front-loading the main action and then detailing the output and a key parameter constraint. It is concise, well-structured, and contains no redundant information.

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?

Given the tool's complexity (analysis, 5 parameters, no output schema, no annotations), the description is insufficient. It does not explain the return format, whether prior search results are required, or how the analysis is performed. This leaves key contextual gaps for an agent.

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%, so baseline is 3. The description adds that limit defaults to 20 and max is 50, which is already in the schema. No additional meaning is provided for other parameters beyond what's in the schema, so score remains at the baseline.

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 states the tool analyzes query results and returns a market snapshot with specific metrics like price ranges, currencies, sale counts, discounts, and top shops. This distinguishes it from sibling tools such as shop_app_search (which returns raw results) and shop_app_product (single product details).

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 does not provide guidance on when to use this tool versus alternative tools like shop_app_search or shop_app_product. It lacks explicit context for appropriate usage, such as prerequisites or when to avoid.

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