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@romaco/mcp

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by romaco-labs

romaco_capture_snapshot

Capture the current chart as a base64 image to share, confirm placement, or feed a vision LLM. Requires explicit user opt-in due to high token cost.

Instructions

Capture the current chart as a base64 image for vision-enabled models. Cost: 300–800 KB per image (PNG, lossless) or 100–300 KB (JPEG). Gated. Set acknowledgeHighTokenCost:true to receive the image. Without it the tool returns an error explaining the cost. Only opt in when the USER explicitly asked for a visual snapshot — e.g. to share, to confirm placement, or to feed a vision LLM.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
formatNoImage format: png (default, lossless) or jpeg (smaller file).
acknowledgeHighTokenCostNoREQUIRED to receive the image. Setting this true commits to 300–800 KB base64 PNG (or 100–300 KB JPEG). Only opt in when the USER explicitly asked for a chart image and accepts the token cost.
Behavior5/5

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

With no annotations, the description fully discloses behaviors: returns base64 image, costs 300-800 KB (PNG) or 100-300 KB (JPEG), gated, requires acknowledgeHighTokenCost=true, otherwise returns error. No contradictions.

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 structured in clear, informative sentences. It could be slightly more concise by combining cost and gated statements, but every sentence adds value and is front-loaded.

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

Completeness4/5

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

Given the tool's simplicity (2 params, no output schema), the description covers purpose, costs, gating, and usage guidelines. It omits potential limitations like image content exactness or timeouts, but is sufficient for an agent.

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?

Schema coverage is 100%, so baseline is 3. The description adds significant context beyond schema, such as token costs per format, gated behavior, and error handling. This enhances parameter understanding.

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 'Capture the current chart as a base64 image for vision-enabled models,' which is a specific verb+resource. It distinguishes from sibling tools like romaco_get_chart_context or romaco_get_visible_candles by focusing on image capture.

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

Usage Guidelines5/5

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

The description explicitly says 'Only opt in when the USER explicitly asked for a visual snapshot — e.g. to share, to confirm placement, or to feed a vision LLM.' This provides clear when-to-use guidance and implies when not to use (e.g., if the user hasn't asked).

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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