Skip to main content
Glama
1335907208

wechat-mcp-server

by 1335907208

wechat_save_skill

Save WeChat chat skills as Agent Skills compliant SKILL.md files by specifying chat names and output path. Supports message limit and markdown or JSON output.

Instructions

Distill and save skill to file as Agent Skills compliant SKILL.md.

Args: chat_names: Comma-separated list of chat names output_path: Path to save the skill file (will create SKILL.md per Agent Skills spec) message_limit: Maximum messages per chat output_format: 'markdown' (Agent Skills SKILL.md) or 'json'

Returns: Path to saved SKILL.md file or error message

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
chat_namesYes
output_pathYes
message_limitNo
output_formatNomarkdown

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
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 describes the action and parameters but does not mention side effects like file overwriting, authentication requirements, or rate limits. The return value is mentioned only briefly.

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 concise and well-structured with clear Args and Returns sections. Every sentence provides useful information without redundancy.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given 4 parameters and an output schema, the description covers inputs and output comprehensively. It explains the purpose, parameters, and return value, making it complete for tool selection and invocation.

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

Parameters5/5

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

Schema description coverage is 0%, but the description thoroughly explains all four parameters: chat_names, output_path, message_limit (with default 500), and output_format (with allowed values 'markdown' and 'json'). This adds significant meaning beyond the schema's bare titles.

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 action ('Distill and save skill to file') and the resource ('Agent Skills compliant SKILL.md'). It distinguishes from the sibling 'wechat_distill_skill' by specifying that it saves to a file, not just distills.

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?

The description implies usage for saving distilled skills to a file, but does not explicitly state when to use this tool versus alternatives like 'wechat_distill_skill'. No when-not or exclusion criteria are provided.

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/1335907208/wechat-mcp-server'

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