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wXingHe

openmemory-rag-mcp

by wXingHe

import_url

Import web content from a URL into the OpenMemory RAG knowledge base for search and retrieval. Add pages, articles, and online resources with optional tags and user ID.

Instructions

Import content from a URL into OpenMemory RAG knowledge base

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYesURL to import (webpage, article, etc.)
tagsNoOptional tags for the content
user_idNoUser ID for the knowledge base (optional)

Schema Changelog

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

  1. First observedv1.0.0

TDQS

A3.7/5.0
Behavior2/5

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

No annotations are provided, so the description must carry the full burden. 'Import content' implies a write operation, but it does not disclose side effects, idempotency, duplicate handling, network fetch behavior, or any dependencies like authentication. An agent is left guessing what happens after the call.

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?

A single concise sentence with no filler. Every word contributes to identifying the operation, the source, and the destination. It is front-loaded and easily scannable.

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?

The tool is simple and all parameters are schema-documented, so the core operation is understandable. However, there is no output schema and the description does not mention return values, success/failure behavior, or post-import state. This leaves meaningful gaps for an agent deciding whether the call succeeded or what to do next.

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 description coverage is 100%, so the schema already documents url, tags, and user_id. The description adds no additional parameter-level meaning such as URL format constraints, tag syntax, or how user_id affects routing, so baseline 3 is appropriate.

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 uses a clear verb ('Import'), a specific resource ('content from a URL'), and a target system ('OpenMemory RAG knowledge base'). This makes the tool's purpose immediately distinguishable from siblings like import_file and import_text by source type.

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 clearly implies when to use it: when content is available at a URL. It does not explicitly mention alternatives or exclusions, but the input type is self-evident and the sibling names reinforce the distinction.

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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