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analyze_clipboard

Analyzes clipboard images for text-only coding agents, returning markdown and structured JSON evidence. Handles screenshots, diagrams, and error captures without unreadable attachments.

Instructions

Analyze the current OS clipboard image. Use this when the user copied a screenshot/image and asks about the clipboard, especially in OpenCode/Droid with text-only models where Alt+V creates an unreadable native attachment. Reads the clipboard directly, returns text evidence, and deletes the temporary image after analysis.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
modeNogeneral
promptNo
detail_levelNostandard
output_formatNomarkdown_json

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
graphNo
tablesNo
mermaidNo
summaryYes
providerYes
inferencesNo
observationsNo
uncertaintiesNo
security_notesNo
recommended_next_stepsNo
Behavior4/5

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

With no annotations provided, the description discloses key behaviors: reads clipboard directly, returns text evidence, and deletes temporary image after analysis. 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.

Conciseness5/5

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

Description is concise and front-loaded with purpose. Every sentence adds value without redundancy.

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

Completeness3/5

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

Given the tool's complexity (4 parameters, no annotations, output schema exists), the description adequately covers behavioral aspects but lacks parameter explanations, making it incomplete for full understanding.

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?

Schema description coverage is 0%, and the description does not explain any of the 4 parameters (mode, prompt, detail_level, output_format). The enum values and their implications remain undocumented.

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 specifies a clear verb ('Analyze') and resource ('current OS clipboard image'), and distinguishes from sibling tools like `analyze_image` and `ocr_clipboard` by mentioning the specific use case of clipboard content.

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?

Provides explicit context for use: when the user copied a screenshot/image and asks about the clipboard, especially in OpenCode/Droid with text-only models. Does not explicitly state when not to use, but the sibling tool list offers alternatives.

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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