app_landscape
$5 — app landscape across up to 10 apps with rating ranking and risk flags.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| targets | Yes |
$5 — app landscape across up to 10 apps with rating ranking and risk flags.
| Name | Required | Description | Default |
|---|---|---|---|
| targets | Yes |
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. It discloses the price ($5), the maximum number of apps, and some output content (rating ranking and risk flags), which helps characterize it as a paid analysis report. However, it omits permissions, read-only status, rate limits, and return format details.
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, tight sentence with no redundant padding. The price and scope are front-loaded, though the phrase 'app landscape' repeats the tool name rather than leading with a clear action.
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 with no annotations or output schema, the description provides basic scope, cost, and output hints. It still leaves gaps around target format and when to select this tool over siblings, but it is minimally adequate.
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% for the single 'targets' parameter. The description partially compensates by implying the targets are apps and that there can be up to 10, but it does not explain the expected string format or what a valid target identifier looks like.
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 states it produces an 'app landscape' across up to 10 apps with rating ranking and risk flags, which gives a rough sense of scope and output. However, it lacks an explicit verb and leaves 'landscape' undefined, so the tool's exact action is vague. It also does not distinguish itself from siblings such as app_batch_scan or app_intel_report.
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 gives a cost and a maximum scope ('up to 10 apps') but provides no guidance on when to use this tool versus alternatives. There are no exclusions, prerequisites, or routing hints toward sibling tools.
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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