Skip to main content
Glama
MK-986123

server-memory

by MK-986123

memory_context

Retrieve a durable context snapshot with pinned entities, recent activity, and hint-matched data to support cross-session project recall.

Instructions

Lightweight context snapshot (~200-500 tokens) for scoped durable recall.

Returns: pinned entities, recent activity, hint-matched entities, and graph stats. Call when prior sessions, stable project facts, or cross-session continuity may matter. Skip for one-off answers or tasks already fully grounded in the current context. Pass hint='current topic' to get relevant entities surfaced. Pass project='name' to scope results to a specific project tag. Pass limit to control how many hint matches are included; prefer 3-5 unless deeper recall is justified.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
hintNo
projectNo
limitNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

Describes returns and token size, but with no annotations, lacks full disclosure on side effects, determinism, or limitations beyond the brief overview.

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?

Efficiently organized, front-loaded with definition, then returns, usage, parameters. No unnecessary words.

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?

Covers key aspects for a read tool with optional params and an output schema, though could address error cases or output format more.

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

Parameters5/5

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

Despite 0% schema coverage, the description fully explains each parameter's purpose and usage, adding significant meaning beyond the schema.

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 it is a lightweight context snapshot for durable recall, listing returns. It is specific but could more explicitly differentiate from siblings like memory_context_full.

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 tells when to call (prior sessions, cross-session continuity) and when to skip (one-off answers), plus parameter usage guidance.

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/MK-986123/server-memory'

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