Skip to main content
Glama

Search memories

memory_search

Search a user's memories using semantic similarity, ranking results by importance, recency, and recall frequency. Retrieved memories are reinforced for future recall.

Instructions

Semantic search over a user's memories, ranked by similarity, importance, recency, and how often each memory has been recalled. Returns the top matches. Recalled memories are reinforced.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
kNoMax results (default 5).
queryYesWhat you want to recall.
userIdYes
Behavior4/5

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

With no annotations, the description discloses the key behavioral trait that recalled memories are reinforced (state modification), and explains ranking factors. However, it does not mention any potential side effects or truncation behavior beyond 'top matches'.

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?

Three concise sentences front-load the purpose and ranking details, with no redundant or extraneous information.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given no output schema and 3 parameters, the description explains the ranking, reinforcement, and top match behavior. It lacks details on return format but is sufficient for a search tool with k parameter limiting.

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 67% (userId missing description). The description adds minimal additional meaning beyond the schema for 'query' and 'k', and nothing for userId, resulting in marginal value added.

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 'semantic search over a user's memories' with specific ranking criteria (similarity, importance, recency, recall count), distinguishing it from sibling tools like memory_write and memory_forget.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage for retrieving memories but does not explicitly state when to use versus alternatives, nor does it provide when-not conditions.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/John-CEO-HQ/qwen-memory-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server