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store_persistent_memory

Store semantic context or user preferences permanently in a vector database for long-term recall.

Instructions

Store long-term semantic context or user preferences permanently in the vector database. Use this when the user explicitly asks you to remember something or when key insights are uncovered.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
conceptYes
detailsYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

No annotations provided, so description carries burden. Describes permanence but lacks details on overwrite behavior, idempotency, or potential effects on existing memories.

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, no unnecessary words. Efficient and well-structured.

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 no annotations and an output schema, description should mention return value or confirmation. Missing details on effect and response, though tool complexity is low.

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

Parameters2/5

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

Schema description coverage is 0%. Description adds no meaning to 'concept' or 'details' beyond what is in the schema. Fails to explain what these parameters represent or how to use them.

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 action (store), resource (long-term semantic context/user preferences), and permanence (in vector database). It effectively distinguishes from sibling tool recall_persistent_memory.

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?

Explicitly states when to use: when user asks to remember or key insights are uncovered. Could be improved by noting when not to use, but provides clear guidance.

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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