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kimi_read_media

Analyze images or videos by specifying a file path and a prompt, returning AI-powered insights and answers about the media content.

Instructions

Analyze images and videos using multimodal capabilities.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pathYesAbsolute path to image or video file
promptNoAnalysis prompt for the media
workFolderNoWorking directory (absolute path)
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. It mentions 'multimodal capabilities' but doesn't disclose whether the operation is read-only, what outputs to expect, or any limitations like supported formats or file size limits. This is a significant gap.

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 a single, front-loaded sentence with no filler or redundant content. Every word adds value, making it highly concise and well-structured.

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 the lack of annotations and output schema, the description should provide more context about return values, typical use cases, or constraints. It doesn't, leaving the agent to infer important details about how to invoke and interpret the tool's results.

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

Parameters3/5

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

Schema description coverage is 100%, so each parameter is already documented with descriptions. The tool description adds no additional meaning to the parameters, which aligns with the baseline score of 3.

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

Purpose4/5

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

The description uses a specific verb ('Analyze') and resource ('images and videos'), clearly indicating the tool's purpose. It distinguishes from siblings like kimi_read_file by focusing on media files, though it doesn't explicitly name alternatives.

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

Usage Guidelines3/5

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

Usage context is implied by the phrase 'images and videos' – it should be used for media analysis rather than text file reading. However, there is no explicit guidance on when to prefer this over other tools or any exclusions.

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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