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analyze_image_batch

Analyze multiple images at once with optional custom prompts. Get content descriptions for a batch of image files using configurable Tencent Cloud credentials and region.

Instructions

批量分析图片内容

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
promptNo分析提示词(可选)请描述这张图片的内容。
regionNo腾讯云地域(可选,默认 ap-beijing)ap-beijing
secretIdNo腾讯云 SecretId(可选,优先使用环境变量 TENCENT_SECRET_ID)
secretKeyNo腾讯云 SecretKey(可选,优先使用环境变量 TENCENT_SECRET_KEY)
imagePathsYes图片文件路径数组

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv1.1.2

TDQS

C2.9/5.0
Behavior2/5

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

No annotations are provided, so the description must fully disclose behavior. It does not mention that this likely invokes a Tencent Cloud API, requires authentication, may incur costs, or what side effects or outputs to expect. The parameters hint at cloud integration, but the description itself is silent.

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 a single, efficient sentence with no redundant content. It is concise and front-loads the core purpose, though it is so brief that it sacrifices informative value.

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?

For a tool with five parameters including credentials and no output schema, the description is inadequate. It does not explain the return value, prerequisites, failure modes, or how this tool fits into a larger workflow, leaving the agent without enough context to call it confidently.

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%, with each parameter already documented in the input schema. The description adds no additional parameter-level meaning, so the baseline score of 3 is appropriate.

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 states a specific verb and resource ('批量分析图片内容' - batch analyze image content) and is clearly distinct from the sibling video/script tools. However, it does not specify what type of analysis is performed or what the output looks like, so it falls short of a 5.

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 gives no guidance on when to use this tool versus alternatives. There is no mention of appropriate scenarios, exclusions, or routing to sibling tools, leaving the agent to infer usage context entirely.

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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