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danilofalcao

GLM Vision Server

by danilofalcao

glm_vision

Analyze images using a vision model: supply an image path or URL and a prompt. Adjust temperature, tokens, and thinking mode.

Instructions

Analyze an image file using GLM-4.5V's vision capabilities. Supports both local files and URLs.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
image_pathYes
promptYes
temperatureNo
thinkingNo
max_tokensNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

No annotations provided, so description must reveal behavioral traits. Only states basic capability; omits details like permissions, network usage, latency, or size limits.

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?

Two concise sentences, front-loaded with purpose. No wasted words, but slightly too brief given parameter count.

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?

Despite having an output schema, the description lacks essential context for a 5-parameter vision tool. Agent needs parameter semantics, usage scenarios, and constraints.

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

Parameters1/5

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

Schema description coverage is 0%. Description does not explain any of the 5 parameters (image_path, prompt, temperature, thinking, max_tokens). Agent cannot infer how to format inputs.

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?

Clear statement of tool purpose: analyze images using GLM-4.5V vision capabilities, supporting local files and URLs. No sibling tools exist, so no differentiation needed.

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?

No guidance on when or when not to use this tool. Lacks context about alternative tools or edge cases (e.g., unsupported image formats).

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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