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chatlab-mcp

chatlab-mcp

by gamesme
OverviewSchemaSourceRelated ServersDiscussionsAdmin
TypeScript
Local

get_message_context

Retrieve messages before and after specific message IDs to show conversation context around a target message.

Instructions

Get N messages before and after one or more specific message IDs. Use when the user references "what was being said around message X" or wants to see the conversation surrounding a specific message.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "session_id": "<session_id>",
      "message_ids": "<message_ids>"
    },
    "name": "get_message_context"
  }
}

Input Schema

NameRequiredDescriptionDefault
session_idYesSession ID
message_idsYesTarget message IDs (one or many)
context_sizeNoMessages before AND after each target (default 20, max 100)
formatNoOutput format: text (default) or json
timezoneNoTimezone for time display (default Asia/Shanghai)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.19.101

TDQS

A3.8/5.0
Behavior2/5

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

No annotations are provided, and the description does not disclose behavioral traits beyond the basic operation. It does not mention that the tool is read-only, any authentication requirements, or potential side effects. The name implies a read operation, but the description lacks explicit transparency.

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 two sentences, front-loaded with the core action. Every word adds value, with no redundancy or fluff.

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

Completeness4/5

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

Given the tool has 5 parameters and no output schema, the description covers the essential use case but could be more complete. It does not explain behavior for multiple message IDs or default context size, though schema provides defaults. Overall adequate for typical use.

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?

The input schema has 100% coverage, with each parameter described. The description adds limited value by mentioning 'N messages' and 'one or more specific message IDs', but does not elaborate on format or timezone beyond schema. Baseline 3 is appropriate.

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 retrieves N messages before and after specific message IDs, which is a distinct purpose among sibling tools like get_conversation_between and get_full_conversation. It uses a specific verb and resource.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description explicitly tells when to use this tool, such as when the user references 'what was being said around message X'. It provides clear context but does not mention when not to use it or suggest alternatives.

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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