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recall

Retrieve stored information from memory tables using natural language queries without altering the original data.

Instructions

Recall memories without modifying them. Describe what you want to remember in plain English.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tableYesThe memory table to search
queryYesPlain English description of what you want to recall. Can be a topic, a person, a time period, etc.
Behavior3/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It states the tool is read-only ('without modifying them'), which is helpful, but lacks details on permissions, rate limits, or response format. This is adequate but leaves gaps in behavioral context.

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 extremely concise with two sentences that are front-loaded and waste no words. Each sentence adds clear value: the first defines the purpose and constraint, and the second provides usage guidance.

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 no output schema, the description is moderately complete for a read-only tool. It covers the basic operation and parameter guidance but lacks details on what the recall returns (e.g., format, structure) or any error conditions, which could be important for an AI agent.

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 description coverage is 100%, so the schema already documents both parameters thoroughly. The description adds minimal value by reinforcing the 'plain English' aspect for the query parameter, but does not provide additional syntax or format details beyond what the schema offers.

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 specific verbs ('recall memories') and distinguishes it from siblings by emphasizing 'without modifying them.' This explicitly differentiates it from tools like 'forget' or 'remember' that likely involve 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?

The description provides clear context for when to use this tool ('Describe what you want to remember in plain English'), but it does not explicitly mention when not to use it or name alternatives. This makes it good but not perfect for guiding usage relative to siblings.

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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