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save_memory

Store important notes, decisions, and preferences in persistent memory for access across sessions. This tool helps maintain project context and user patterns by saving searchable information to local storage.

Instructions

Save a note to persistent memory. Use this to remember important context, decisions, patterns, or user preferences across sessions.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
contentYes
tagsNo
contextNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
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 discloses that the tool saves data persistently across sessions, which is a key behavioral trait. However, it lacks details on permissions, rate limits, error handling, or how the saved data is structured or retrieved, leaving gaps in behavioral understanding.

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 appropriately sized and front-loaded, consisting of two concise sentences. The first sentence states the core purpose, and the second provides usage context, with no wasted words or redundant information.

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 tool's complexity (a write operation with 3 parameters), lack of annotations, and presence of an output schema, the description is moderately complete. It explains the tool's purpose and usage context but misses details on parameters, behavioral constraints, and how it interacts with sibling tools, making it adequate but with clear gaps.

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?

The schema description coverage is 0%, so the description must compensate. It does not mention any parameters explicitly, failing to add meaning beyond the input schema. The baseline is 3 because the schema covers all parameters (content, tags, context) with titles and types, but the description provides no additional semantic context for their use.

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 the tool's purpose with a specific verb ('save') and resource ('note to persistent memory'), distinguishing it from sibling tools like delete_memory, list_memories, and search_memory. It specifies that this is for writing data that persists across sessions, unlike get_session or list_sessions which are read-only.

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 this tool ('to remember important context, decisions, patterns, or user preferences across sessions'), but does not explicitly state when not to use it or name alternatives. For example, it doesn't clarify whether to use save_memory versus other tools for similar purposes, though the context implies it's for persistent storage.

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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