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recall

Retrieve past episodes from memory using filters such as time range, type, source, or keyword. Use this to find context before making decisions or to cite specific episodes.

Instructions

Query episodes from memory with filters. Call this to find prior context before making decisions, to locate specific episodes for citation during graduation, or to review recent work. Returns matching episodes ordered by timestamp (newest first). Supports time range, type, source, and keyword filters.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sinceNoISO 8601 timestamp — return episodes after this time.
untilNoISO 8601 timestamp — return episodes before this time.
episode_typeNoFilter by episode type.
sourceNoFilter by source/agent attribution.
keywordNoSearch episode content for this keyword.
limitNoMaximum episodes to return. Default 100.
offsetNoSkip first N matching episodes. Default 0.
Behavior4/5

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

No annotations provided, so description carries burden. It discloses ordering (newest first) and filtering capabilities. However, it lacks mention of rate limits, authentication needs, or side effects, though for a read tool these are less critical.

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, no wasted words. Purpose is front-loaded, and structure is efficient.

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?

Given 7 optional params with full schema descriptions, the description covers purpose, use cases, ordering, and filtering. No output schema exists, but the description adequately describes return behavior.

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 coverage is 100% with descriptions for each parameter. The description adds only a summary of filter types ('time range, type, source, and keyword'), not substantive new meaning beyond what the schema provides.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states it queries episodes from memory with filters and gives specific use cases (prior context, citation, review). It distinguishes from write-oriented siblings like delete_episode and record, though not explicitly.

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?

Description explicitly says to call for prior context, citation, or review. It doesn't state when not to use or list alternatives, but the context is clear given sibling tool names.

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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