Skip to main content
Glama

baidu_image_recognition

Identify objects in images by providing a URL. This tool returns recognition results for common items and scenes.

Instructions

[Vision] 通用物体识别 — $0.02/call (free: 5/5 today)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
imageYes图片URL
Behavior2/5

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

With no annotations, the description carries full burden. It mentions cost and free quota but does not disclose other behaviors like error handling, supported image formats, rate limits, or response structure. This is minimal transparency.

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 concise phrase including cost info, which is front-loaded. It is not overly verbose, but could include more context without becoming too long.

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?

For a simple one-parameter tool without output schema, the description is minimally complete. However, given many sibling tools with similar names, more context on what constitutes 'general objects' and response format would improve completeness.

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 coverage is 100% (one parameter with a description). The tool description adds no additional meaning beyond the schema. Baseline is 3; no extra value provided.

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 the tool does general object recognition (通用物体识别), using a specific verb and resource. It distinguishes from sibling tools like baidu_animal, baidu_car, etc., which focus on specific categories.

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 provides no guidance on when to use this tool over siblings or alternatives. It only states the purpose and cost, leaving the agent to infer usage context without explicit when-to-use or when-not-to-use instructions.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/wuzenghai616-lang/goldbean'

If you have feedback or need assistance with the MCP directory API, please join our Discord server