Skip to main content
Glama
arambarnett

robinhood-chain-mcp

by arambarnett

entity_connections

Retrieve typed relationships of an entity including suppliers, leadership, and alliances. Specify depth up to 2 to discover second-order connections.

Instructions

Get the typed relationship neighborhood of an entity: who it supplies, plays for, leads, owns, is allied with, etc. Each edge carries a relationship type, confidence score, and temporal validity. Use depth 2 to find second-order connections (the suppliers of the supplier).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
slugYesCanonical entity slug from lookup_entity
depthNoTraversal depth (default 1, max 2)
limitNoMax connected nodes (default 25)
Behavior4/5

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

No annotations provided, so description carries full burden. It discloses that edges include relationship type, confidence score, and temporal validity, and mentions depth limits. Adequate for a read-only traversal.

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?

Two sentences, front-loaded with main purpose, no filler. Every sentence provides essential information.

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

Completeness5/5

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

No output schema but description explains edge attributes. For a moderate-complexity tool with 3 params, the description is sufficiently complete without gaps.

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

Parameters4/5

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

Schema coverage is 100%, baseline 3. Description adds value by explaining 'typed relationships' and providing a usage example for depth, going beyond schema descriptions.

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?

Description states the tool retrieves typed relationship neighborhood with concrete examples (supplies, plays for, etc.), clearly distinguishing from sibling tools like lookup_entity and related_markets.

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?

Provides explicit guidance on using depth 2 for second-order connections. Lacks explicit when-not-to-use but the context is clear enough.

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/arambarnett/robinhood-chain-mcp'

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