Skip to main content
Glama

記憶搜尋

memory_search

Search stored memories by keyword, name, or content to retrieve relevant past information for context and decision-making.

Instructions

依關鍵字/名稱/內容搜尋記憶。

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYes

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv0.1.0

TDQS

C2.9/5.0
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It merely states it searches memory, without mentioning whether it is read-only, any side effects, rate limits, or what the return format looks like. This is a significant gap for a tool with zero annotation coverage.

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 a single, concise sentence with no unnecessary words. It front-loads the core functionality clearly and efficiently.

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

Completeness2/5

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

Given the tool's simplicity (1 parameter, no output schema) but the presence of many sibling memory tools, the description is incomplete. It does not clarify what results are returned, how results are ordered or filtered, or how it differs from memory_list. An agent would have significant uncertainty about expected 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?

The schema for the single 'query' parameter has 0% description coverage, but the description adds meaning by specifying that the query can be a keyword, name, or content. This goes beyond the parameter name alone, partially compensating for the missing schema documentation.

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 the tool searches memory by keyword/name/content, using a specific verb and resource. However, it does not explicitly distinguish itself from siblings like memory_list, so while the purpose is clear, differentiation is weak.

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

Usage Guidelines2/5

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

No guidance is provided on when to use this tool versus alternatives such as memory_list or memory_forget. There is no mention of contexts, exclusions, or alternative tools, leaving the agent to infer usage.

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

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/win10ogod/Rimai'

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