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CarryMem

CarryMem

by lulin70
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Local

batch_classify

Batch classify a list of messages to generate separate memory entries, enabling efficient organization and recall of important content.

Instructions

Batch classify multiple messages, each returning an independent MemoryEntry.

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": {
      "messages": "<messages>"
    },
    "name": "batch_classify"
  }
}

Input Schema

NameRequiredDescriptionDefault
messagesYesList of messages to batch classify

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.4.0

TDQS

A3.7/5.0
Behavior3/5

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

No annotations are provided, so the description must carry the full burden. It discloses that each result is an independent MemoryEntry, but lacks details on side effects, permissions, rate limits, or what 'classify' entails behaviorally.

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 at two sentences, with no wasted words. It immediately conveys the core function and result structure.

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?

Given the complexity of a batch operation (multiple messages, independent results), the description is adequate but incomplete. It does not mention limits on batch size, error handling, or any prerequisites. The absence of an output schema reduces completeness requirements somewhat, but more detail would be beneficial.

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 description coverage is 100%, with descriptions for message and context in the schema. The tool description adds no new parameter information beyond what is already in the schema, so it meets the baseline without providing extra value.

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?

Description clearly states the tool batches classify multiple messages, distinguishing it from single-message siblings like classify_message. The verb 'classify' and resource 'messages' are specific, and the output 'each returning an independent MemoryEntry' clarifies the return type.

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 name implies batch use, but no explicit guidance is given on when to use this tool versus alternatives such as classify_message for single messages or classify_and_remember for combined actions. No exclusions or context are mentioned.

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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