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Memory Recall

memory_recall

Retrieve relevant past memories with natural language queries. Load prior context at project start to inform decisions.

Instructions

Semantically search stored memories and return the most relevant results. Call at the start of any project session to load prior context.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMax results to return (default 10).
queryYesNatural language description of what to recall.
scopeNoScope to search: 'personal' for your own memories, 'org' for shared team memories, 'both' (or omit) for all accessible memories.
offsetNoNumber of results to skip for pagination (default 0). Use with limit to page through results: page 1 = offset 0, page 2 = offset 10, etc.
projectNoOptional project filter.
to_dateNoISO 8601 timestamp. Only return memories created on or before this date (e.g. '2026-05-01T00:00:00Z').
from_dateNoISO 8601 timestamp. Only return memories created on or after this date (e.g. '2026-04-01T00:00:00Z').
min_scoreNoMinimum similarity score (0-1) to include in results (default 0.35). Increase to filter noise, decrease to cast a wider net.
source_toolNoFilter by originating tool (e.g. 'complete_task', 'memory_summarize_and_store', 'cowork'). Only memories created by this tool are returned.
created_afterNoDeprecated: use `from_date`.
created_beforeNoDeprecated: use `to_date`.
Behavior3/5

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

No annotations are provided, so the description must cover behavioral traits. It indicates semantic search and retrieval, but does not mention side effects, destructive actions, authentication, or rate limits. The description is adequate but lacks explicit safety guarantees.

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 only two sentences: the first states the purpose, the second provides a usage tip. Every sentence earns its place with no wasted words.

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 complexity (11 parameters, no output schema), the description is not fully comprehensive. It omits details about return values and does not summarize filtering options, though the schema covers them. It is complete enough for basic use but could benefit from more context.

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 all parameters well. The description does not add further meaning beyond the schema, resulting in a baseline score of 3.

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 performs semantic search on memories and returns relevant results. It distinguishes itself from sibling memory tools (memory_forget, memory_store, etc.) by focusing on recall and retrieval.

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 explicitly advises calling this tool at the start of any project session to load prior context. This provides clear usage guidance, though it does not specify when to avoid using it or mention alternatives.

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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