Skip to main content
Glama

open_nodes

Retrieve complete entity data and observations by specifying node names in the MCP memory server.

Instructions

Open specific nodes by name. Returns full entity data with observations.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
namesYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

With no annotations provided, the description carries full burden for behavioral disclosure. It mentions that the tool 'Returns full entity data with observations', which is useful, but doesn't cover critical aspects like whether this is a read-only operation, if it requires specific permissions, error handling, or performance characteristics. The description is too sparse for a tool that presumably accesses node data.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is extremely concise at just two sentences, with no wasted words. However, this brevity comes at the cost of completeness - it's arguably too terse given the tool's likely complexity and lack of annotations/schema documentation.

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 has an output schema (which should document return values), the description doesn't need to explain return format details. However, with no annotations, 0% schema description coverage, and multiple sibling tools with similar purposes, the description should provide more context about when and how to use this specific tool versus alternatives.

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?

The input schema has 1 parameter with 0% description coverage, so the schema provides no semantic information. The description only vaguely references 'by name' without explaining what 'names' represents (e.g., node IDs, labels, or something else), acceptable formats, or constraints. This leaves the parameter meaning ambiguous.

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 action ('Open specific nodes by name') and resource ('nodes'), making the purpose understandable. However, it doesn't distinguish this tool from sibling tools like 'search_nodes' or 'read_graph', which appear to have overlapping functionality with nodes/entities.

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?

The description provides no guidance on when to use this tool versus alternatives like 'search_nodes' or 'read_graph'. It doesn't mention prerequisites, constraints, or typical use cases, leaving the agent to guess based on tool names alone.

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/Yarlan1503/mcp-memory'

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