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Recall Memories

recall
Read-onlyIdempotent

Retrieve relevant past lessons, decisions, and rules for any task using semantic search. Use when unsure how the user wants something done to avoid guessing.

Instructions

Surface the most relevant past lessons, decisions, and rules for a task, ranked by semantic similarity. Returns {count, memories:[{id, scope, score, text}]}, where score is rerank confidence (higher = more relevant). Use at the start of a task or whenever unsure how the user wants something done, instead of guessing. Read-only — to save a new memory use note.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
kNoMaximum number of memories to return (1-20). Defaults to 5.
queryYesNatural-language description of the task or question to find lessons for, e.g. 'how does the user want commit messages formatted'.
scopeNoOptional domain filter, e.g. 'rust', 'python', 'universal'. Omit to search every scope.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
countYes
memoriesYes
Behavior4/5

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

Annotations already declare readOnlyHint and idempotentHint. Description adds behavioral context: ranking by semantic similarity, return format with score meaning (rerank confidence). No contradictions.

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?

Three sentences, front-loaded with purpose, then structure, then usage. Every sentence is necessary and well-structured.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With output schema present, description adequately covers return format, behavior, and usage. Parameters are fully documented. No gaps.

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 baseline is 3. Description adds value by providing an example for 'query' and explaining that results are ranked, clarifying the purpose of the query parameter.

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 action ('Surface') and resource ('past lessons, decisions, and rules'), and distinguishes it from siblings like 'note' (save) and others.

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 states when to use ('at the start of a task or whenever unsure') and provides a clear alternative ('to save a new memory use `note`').

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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