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vitron-ai

alethia-mcp

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by vitron-ai

alethia_screenshot

Read-only

Capture a PNG screenshot of the current page and return it as a base64 image to visually verify the browser state after test steps.

Instructions

Capture a PNG screenshot of the current page and return it as a base64-encoded image. Use this to visually verify what the browser is showing after running test steps with alethia_tell.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false. The description adds useful behavioral context beyond that, such as capturing the 'current page' and returning a base64-encoded image, which aligns with and reinforces the read-only nature of the operation.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is two sentences: the first states the action and output format, the second provides usage context. It is front-loaded, efficient, and contains no filler or redundancy.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a tool with no parameters and no output schema, the description fully covers the necessary information: what it does, what it returns, and when to use it. There are no significant gaps given the tool's simplicity.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool has zero parameters, so the baseline of 4 applies. No parameter description is needed, and the schema coverage is trivially 100%.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description uses a specific verb and resource: 'Capture a PNG screenshot of the current page' and explicitly states the output format (base64-encoded image). It also distinguishes the tool from siblings by mentioning its role after alethia_tell steps.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description explicitly tells when to use the tool: 'after running test steps with alethia_tell' and why: 'to visually verify what the browser is showing'. It does not explicitly name alternatives, but the context is clear enough for an agent to select it appropriately.

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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