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recall_memory

Recall user preferences, past instructions, and known facts at task start for context. Returns matching memories and their IDs.

Instructions

Retrieve memories relevant to a query. Call this at the start of every task to get context about the user's preferences, past instructions, and known facts. Returns a list of memories with their IDs.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesKeywords or sentence describing what to look for in memory.
user_idNoUser identifier (default: 'root').
api_keyNoAgent API key (starts with 'ym_'). If provided, also returns this agent's private memories. If omitted, returns shared memories only.
top_kNoMax memories to return (default: 5).
current_pathNoCurrent working file or directory path. Memories tagged with matching paths receive a relevance boost.
Behavior3/5

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

No annotations provided, so the description must carry the burden. It is a read operation (retrieval), which is disclosed, but lacks details on authentication, rate limits, or any side effects. Minimal but adequate for a simple retrieval tool.

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, then usage guidance. No unnecessary words, efficient and clear.

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?

No output schema, but the description states it returns a list with IDs. Parameter descriptions are sufficient. Could mention relevance boosting or ordering, but overall complete for a simple retrieval tool.

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 covers 100% of parameters with descriptions. The description adds minimal extra meaning beyond the schema, primarily the usage context. Baseline 3 is appropriate.

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 'Retrieve memories relevant to a query' and specifies when to use it ('at the start of every task'). It distinguishes well from sibling tools store_memory and update_memory, which handle storage and modification.

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 recommends calling at the start of every task for context. Lacks when-not-to-use or alternatives, but the sibling tools make the distinction clear.

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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