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AkM-2018

Amazon Neptune MCP Server

by AkM-2018

run_opencypher_query

Execute openCypher queries to retrieve and analyze data from Amazon Neptune graph databases, enabling graph-based insights and relationships exploration.

Instructions

Executes the provided openCypher against the graph.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYes
parametersNo
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It only states the basic action without details on permissions, rate limits, error handling, or what 'executes' entails (e.g., read-only vs. mutating queries). This leaves significant gaps in understanding the tool's behavior.

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?

The description is a single, efficient sentence with zero waste. It is appropriately sized and front-loaded, clearly stating the tool's purpose without unnecessary elaboration.

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

Completeness2/5

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

Given the complexity of a query execution tool with no annotations, no output schema, and low schema coverage, the description is incomplete. It lacks details on return values, error cases, and behavioral traits, making it inadequate for an agent to use the tool effectively.

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?

Schema description coverage is 0%, so the description must compensate for undocumented parameters. It mentions 'provided openCypher' which hints at the 'query' parameter but does not explain the 'parameters' parameter or provide any syntax, format, or examples. This adds minimal value beyond the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states the tool 'Executes the provided openCypher against the graph,' which clearly identifies the action (executes) and resource (openCypher query on a graph). However, it lacks specificity about what openCypher is or how it differs from sibling tools like run_gremlin_query, making it somewhat vague rather than fully distinguishing.

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. It does not mention sibling tools like run_gremlin_query for different query languages or get_graph_schema for schema inspection, leaving the agent without context for tool selection.

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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