Skip to main content
Glama
hetiankong

WeChat Local Agent MCP

by hetiankong

context

Retrieve the surrounding messages around a specific message in a WeChat chat, with configurable counts before and after, to provide stable conversational context for analysis.

Instructions

Read bounded context around exactly one stable message anchor.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
chatYes
local_idNo
after_countNo
before_countNo
display_orderNoasc
server_id_strNo
include_anchorNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

With no annotations, the description carries the transparency burden. It conveys read-only intent ('Read') and scope ('bounded', 'exactly one stable message anchor'), but omits details about error handling, pagination, or authentication. This provides some value but leaves significant gaps.

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 a single, well-structured sentence with no redundant words. It front-loads the verb and clearly states the core purpose, making it concise and easy to scan.

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 an output schema, the tool has 7 parameters and no helpful annotations. The description only offers a high-level purpose, lacking the context needed to know when to use it, how to set the anchor, or what the counts mean. This is insufficient for correct selection and invocation.

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

Parameters2/5

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

Schema description coverage is 0%, and the description does not map any parameter to concepts like 'anchor' or 'bounded context'. Terms like after_count and before_count are left unexplained. The description adds minimal compensation for the missing parameter documentation.

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 the action ('Read') and the specific resource ('bounded context around exactly one stable message anchor'). It differentiates from siblings like read_chat_range or read_chat_day by emphasizing a single anchor, though it does not explicitly name alternatives.

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?

There is no guidance on when to use this tool versus the many sibling tools. It does not mention prerequisites, alternatives, or any exclusions. The context is implied but not explicitly described.

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/hetiankong/wechat-local-agent-mcp'

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