Skip to main content
Glama

forge_agent

Creates and registers an AI Agent in TianGong by specifying its name, description, type, framework, and other parameters.

Instructions

⚒️ 开炉炼器 — 创建新的 AI Agent(本命法宝) Forge a new AI Agent in the Celestial Forge.

在天工中注册你的 Agent,开始修炼之旅。 每创建一个 Agent,你的修仙者境界就离突破更近一步。

Create and register your AI Agent in TianGong. Each Agent brings you closer to your next realm breakthrough.

Args: name: Agent 名称 / Agent name description: Agent 描述(越详细,品级评估越高)/ Description (more detail = better grade) creator: 创建者 GitHub 用户名 / Creator's GitHub username agent_type: 类型 / Type: general, chat, tool, workflow framework: 使用的框架 / Framework (e.g. langchain, crewai, openai-agents) language: 编程语言 / Language (python, typescript, etc.) repo_url: 代码仓库地址 / Repository URL tags: 标签组 / Tags

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYes
tagsNo
creatorNo
languageNopython
repo_urlNo
frameworkNo
agent_typeNogeneral
descriptionYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

With no annotations, the description carries full burden. It indicates a create operation but lacks details on side effects, duplicate handling, permissions, or error behavior. The flavor text does not compensate for this gap.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

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

The description is somewhat verbose with thematic and bilingual content, but the purpose is front-loaded. Could be more concise without sacrificing clarity.

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?

Covers parameters adequately but misses behavioral context (side effects, validation) and does not mention output despite an existing output schema. Acceptable but not thorough for a tool with 8 parameters and no annotations.

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

Parameters4/5

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

Since schema coverage is 0%, the description effectively explains all 8 parameters with bilingual labels and hints (e.g., agent_type values). This adds significant meaning beyond the raw schema.

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 clearly states 'Forge a new AI Agent' and 'create and register your AI Agent', providing a specific verb and resource. It distinguishes from sibling tools like refine_agent and publish_agent, though it does not explicitly contrast them.

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 to use this tool versus alternatives. The description does not mention prerequisites, contexts, or when not to use forge_agent.

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/JinNing6/TianGong'

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