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memos_remember

Record decisions, conventions, and debugging insights in MemOS, auto-sanitizing sensitive data. Items are visible to you and Paperclip agents for later retrieval.

Instructions

Store a memory in MemOS, visible to both human and Paperclip agent searches.

The content is sanitized (credentials, API keys, tokens, JWTs etc. are redacted) before being stored. Use this to capture decisions, conventions, debugging insights, or anything you want to recall later — or want your Paperclip agents to know about on their next run.

Args: content: The text to remember. Will be auto-sanitized for credentials. category: One of decision, learning, fact, preference, note, convention. project: Optional project tag, e.g. "paperclip", "accounts", "memos". tags: Optional free-form tag list.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
contentYes
categoryNonote
projectNo
tagsNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

With no annotations, the description carries the full burden. It discloses key behavior: content is sanitized (credentials redacted) and stored for future recall. However, it omits details like success/failure responses or idempotency.

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 well-structured with a summary line, behavioral note, and parameter list. It is appropriately sized and front-loaded, though a slight reduction in the use-case enumeration could improve conciseness.

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's complexity (write operation with sanitization) and presence of an output schema, the description covers essential aspects but could benefit from mentioning what happens on success or failure.

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?

Despite 0% schema description coverage, the 'Args' section explains each parameter's purpose, including auto-sanitization for content and valid categories (decision, learning, etc.), adding significant meaning beyond the schema.

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 'Store a memory in MemOS' and lists specific use cases (decisions, conventions, debugging insights). It implicitly distinguishes from siblings by focusing on writing, while memos_recent and memos_search are retrieval tools.

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 provides clear context on when to use (capture decisions, conventions, etc.) but does not explicitly mention when not to use or compare to 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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