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memory_search

Retrieves a compact index of relevant memories (IDs, summaries, scores) as a first recall stage, allowing efficient selection for detailed retrieval without scanning source files.

Instructions

Stage 1 of two-stage recall (progressive disclosure). Returns a COMPACT index of relevant memories (id + short summary + score) — cheap to scan. Use this first, then call memory_get on the IDs you want, instead of re-reading source files.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesWhat to look for in memory.
top_kNoMax results (default: 8).
user_idNoUser identifier (default: 'root').
Behavior4/5

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

With no annotations, the description carries full burden. It discloses output structure (id, summary, score) and performance characteristic ('cheap to scan'). However, it does not explicitly state non-destructive behavior, though it is implied by a search operation.

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 with no wasted words. Key information is front-loaded: stage, output nature, and usage recommendation.

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 no output schema, the description sufficiently describes return format and explains workflow with sibling tool. For this complexity level, it is complete.

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% so the baseline is 3. Description does not add additional semantic detail beyond what is in the schema for parameters like query, top_k, and user_id.

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?

Clearly states it is 'Stage 1 of two-stage recall' returning a compact index of relevant memories (id + short summary + score). Distinguishes from sibling tools like memory_get by specifying it is a cheap-to-scan first step.

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 instructs to 'Use this first, then call memory_get on the IDs you want, instead of re-reading source files,' providing clear when-to-use and when-not-to-use guidance.

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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