list_sample_captures
Public sample captures this service refreshes on a schedule. Useful for showing a user what the output looks like before they spend anything.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No |
Public sample captures this service refreshes on a schedule. Useful for showing a user what the output looks like before they spend anything.
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries full burden. It discloses that captures are public and refreshed on a schedule, and that no spending is involved. However, it does not detail behaviors like pagination, ordering, rate limits, or authentication requirements. The transparency is adequate for a simple list tool but could be more thorough.
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 only two sentences with no wasted words. The first sentence defines the resource and its dynamic nature; the second gives a clear use case. It is front-loaded and efficient.
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 no output schema and no annotations, the description provides essential context (public, refreshed, preview use) but omits return format, ordering, or any constraints beyond the limit. It is moderately complete for a simple list tool but could be improved by describing the output structure.
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?
The input schema has one parameter (limit) with default 12, max 100, min 1. Schema description coverage is 0%, so the description should add meaning but does not mention the parameter's purpose or behavior. The agent must rely solely on the schema, which is minimal. The description fails to compensate for the lack of schema documentation.
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 this tool lists public sample captures that are refreshed on a schedule. It identifies the resource ('public sample captures') and implies the action (listing). The mention 'before they spend anything' differentiates it from sibling tools like create_credit_checkout or get_screenshot_batch, which involve spending or specific batches.
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 suggests using this tool for previewing output before spending, which gives some context. However, it does not explicitly state when not to use this tool or mention alternatives like get_screenshot_batch for specific batches. The guidance is implied but lacks explicit exclusions or comparisons.
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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