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save_memory

Store facts, preferences, or information to your permanent memory with optional category tags for organized retrieval.

Instructions

Save a new fact, preference, or piece of information to the user's permanent memory. MUST call this tool when user says 'remember this', 'save this', or explicitly says 'call tool save_memory'. Do not reply with a normal answer before attempting the tool call.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
factYesThe content to remember (e.g. 'User prefers Python', 'Project Alpha deadline is Dec 25').
categoryNoA category tag for organization (e.g. 'coding_style', 'personal_info', 'work'). Defaults to 'general'.
Behavior3/5

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

No annotations are provided, so the description carries the full burden. It describes an additive write operation (not destructive) but does not disclose potential side effects like storage limits, overwrite behavior, or consistency guarantees. Adequate but could be more transparent.

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?

Two sentences, front-loaded with purpose and then usage instructions. No unnecessary words, highly efficient.

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?

The tool is simple with two parameters and no output schema. The description covers core usage and triggers. However, it omits details about memory management (e.g., editing, deletion, size limits), but for a save-only tool this is acceptable.

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

Parameters4/5

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

Schema coverage is 100%, so the schema already describes both parameters. The description adds value by clarifying that 'fact' is the content to remember and 'category' is a tag, and mentions the default category. This aids understanding 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 it saves a new fact, preference, or piece of information to permanent memory. It provides specific trigger phrases ('remember this', 'save this') and distinguishes from the sibling tool query_personal_memory by focusing on creation vs retrieval.

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

Usage Guidelines5/5

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

Explicitly tells when to call the tool (trigger phrases, explicit 'call tool save_memory') and instructs not to reply normally before attempting the call. This provides clear usage guidance for an AI agent.

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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