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arambarnett

robinhood-chain-mcp

by arambarnett

entity_signals

Assess an entity's signal quality, sentiment trends, and recent high-impact events to determine if action is warranted.

Instructions

Get the current signal picture for an entity: signal-quality score, sentiment across time windows, and recent high-impact events with impact scores. Use it to check whether something is moving before acting on a connection.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
slugYesCanonical entity slug from lookup_entity
Behavior3/5

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

No annotations provided, so description carries full burden. It implies read-only operation but does not disclose data freshness, pagination, or error handling. Lacks some behavioral context.

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 key information, no wasted words. Highly efficient.

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?

No output schema, so description should detail return structure more. Lists components but lacks format details. Adequate but leaves some gaps.

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 coverage is 100% with clear description for 'slug'. Description adds no extra meaning beyond the schema; baseline of 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?

Description clearly states 'Get the current signal picture for an entity' with specific components (signal-quality score, sentiment, events). It distinguishes from sibling tools like entity_connections and lookup_entity by focusing on signals.

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 use case: 'check whether something is moving before acting on a connection.' This helps with when to use, though it does not explicitly state when not to use or name alternatives.

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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