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memory_cache_message

Cache messages to memory with automatic entity detection for persistent context across sessions.

Instructions

缓存一条消息到记忆系统(自动检测实体候选)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
roleYes消息角色: user 或 assistant
contentYes消息内容
Behavior2/5

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

With no annotations provided, the description carries full burden. It does not disclose side effects (e.g., whether caching is persistent, destructive, or requires specific state), nor does it explain the return value or potential errors. The description is too brief for a tool with no annotations.

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

Conciseness4/5

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

The description is a single sentence with no unnecessary words. It is efficient and front-loaded with the core action, though it could benefit from a bit more structure.

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?

Given the tool's simplicity (2 params) but numerous sibling tools, the description lacks context about when to cache messages, how caching interacts with the episode system, and what happens after caching. No output schema means return value is unclear, leaving the agent without complete information.

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%, so the schema already documents both parameters. The description adds no additional meaning beyond the schema, meeting baseline expectations but not exceeding them.

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 (cache a message) and the resource (memory system), with an added feature (auto-detect entity candidates). However, it does not explicitly distinguish from sibling tools like memory_add_entity or memory_recall.

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?

The description provides no explicit guidance on when to use this tool versus alternatives. The mention of 'auto-detect entity candidates' implies usage for automatic extraction, but no direct comparison or context is given.

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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