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n24q02m

Mnemo - Persistent AI Memory

search_memory

Read-only

Search existing memories with natural language queries before adding new information to prevent duplicates.

Instructions

Find existing memories by natural language query. Always search before adding.

ACTION GUIDE — when to use:

  • Use BEFORE adding new information to avoid duplicates. Example: query='dark mode preference'

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYes
categoryNo
tagsNo
limitNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, so the description does not need to restate that. It adds minimal behavioral context beyond the action, not mentioning aspects like pagination or query behavior.

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—two sentences plus a labeled action guide—and front-loaded with the key purpose. Every sentence serves a clear function 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 tool's relative simplicity and the presence of an output schema, the description is mostly adequate but lacks details on optional parameters and return behavior, making it less complete for an agent to fully understand the tool's capabilities.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must compensate. It only hints at the 'query' parameter by mentioning 'natural language query', but does not explain 'category', 'tags', or 'limit', leaving most parameters without added meaning.

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 action ('Find existing memories') and the resource ('memories'), with the additional instruction 'Always search before adding', which distinguishes it from sibling tools like add_memory or list_memories.

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 says 'Use BEFORE adding new information to avoid duplicates' and provides an example, giving clear context for when to use. It does not mention when not to use, but the positive guidance is strong.

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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