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shiiman

multi-agent-mcp

by shiiman

read_latest_screenshot

Retrieve the most recent screenshot as Base64-encoded image data, including filename and MIME type.

Instructions

最新のスクリーンショットを読み取る(Base64)。

Args: caller_agent_id: 呼び出し元エージェントID(必須)

Returns: 画像データ(success, filename, base64_data, mime_type)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
caller_agent_idNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. However, it only states the return format and fails to mention any important traits such as whether the operation is destructive, permission requirements, error conditions, or side effects like file system access.

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

Conciseness4/5

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

The description is short and front-loaded with the primary action. The Args and Returns sections are clearly delineated. However, the contradiction regarding the required parameter and the mix of languages slightly reduce efficiency.

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

Completeness2/5

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

Given that the tool has no annotations, one parameter, and an output schema (not fully shown), the description should provide a more complete picture. It lacks mention of any prerequisites, error handling, or how this tool fits into the broader set of screenshot-related tools (e.g., 'get_screenshot_dir', 'list_screenshots', 'read_screenshot').

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

Parameters2/5

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

The description claims 'caller_agent_id' is required, but the input schema lists it as optional (default null), creating a contradiction. Additionally, schema description coverage is 0%, and the description only provides a label in Japanese without explaining the parameter's purpose or usage beyond being an agent ID.

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 clearly states the verb 'read' and resource 'latest screenshot' with Base64 encoding, leaving no ambiguity. While there is a sibling 'read_screenshot', the 'latest' qualifier in the name and description distinguishes it as the tool for the most recent screenshot.

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

Usage Guidelines2/5

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

The description provides no guidance on when to use this tool versus alternatives like 'read_screenshot' or 'list_screenshots'. It lacks explicit context about prerequisites or the appropriate scenario for calling this tool.

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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