screenshot
PNG of the screen, for content the element list cannot show (images, maps, games).
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| phone_id | Yes | Phone id, ph_… |
PNG of the screen, for content the element list cannot show (images, maps, games).
| Name | Required | Description | Default |
|---|---|---|---|
| phone_id | Yes | Phone id, ph_… |
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 the full burden; it does disclose the return format (PNG) and that it is a read-style capture. It does not mention latency, size, whether the device must be started/awake, or any failure modes, so transparency is adequate but thin.
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?
A single front-loaded sentence with no filler; the output format and the use case are both stated immediately. Slightly terse rather than overlong.
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 one-parameter, no-output-schema capture tool, saying it returns a PNG and when to prefer it over the element list covers what an agent needs to call it correctly; only operational details (device state, cost) are absent.
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 coverage is 100% for the single phone_id parameter, so the description adds nothing about parameters; baseline 3 applies.
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?
States the output format (PNG) and the resource (the screen), and implicitly distinguishes itself from the element-list tool (observe) by naming the content type it uniquely captures.
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?
Gives a clear selection rule: use this for content the element list cannot show, with concrete examples (images, maps, games). It does not explicitly name the sibling to prefer otherwise, but the boundary is inferable.
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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