app_apple_search
V1 App Apple Search
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| term | No | ||
| limit | No | ||
| country | No |
V1 App Apple Search
| Name | Required | Description | Default |
|---|---|---|---|
| term | No | ||
| limit | No | ||
| country | No |
Changes observed during successful MCP inspections.
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 reveals nothing about query behavior, result ordering, pagination, or side effects — not even confirming this is a read-only lookup. Only the word 'Search' suggests an operation.
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 text is short but not concise — it is an under-specified label rather than a structured description. It has no sentence, no front-loaded information, and no details that help invocation. This is placeholder-level brevity, not economy.
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 three undocumented parameters, no output schema, no annotations, and sibling tools that need disambiguation, this description is severely incomplete. An agent cannot reliably select or invoke this tool correctly based on the provided text.
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 description adds no parameter meaning. 'term', 'limit', and 'country' are entirely undocumented, leaving the agent without any clue whether 'term' is a query string or app ID, what 'limit' bounds, or what format 'country' should take.
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 is 'V1 App Apple Search' — essentially a version label and a restatement of the tool name. It gestures at searching Apple apps but provides no specific verb-object statement beyond what the name already says, and it does not distinguish this from siblings like app_apple_details or app_apple_reviews.
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 when-to-use or when-not-to-use guidance is provided. The name implies a search over Apple App Store data, but the description never states that this is the discovery step versus app_apple_details or app_apple_reviews. The agent must infer the entire selection context.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
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