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AkM-2018

Amazon Neptune MCP Server

by AkM-2018

run_gremlin_query

Execute Gremlin queries to retrieve and analyze graph data from Amazon Neptune databases.

Instructions

Executes the provided Tinkerpop Gremlin against the graph.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYes
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 states the tool executes a query but doesn't describe what that entails—e.g., whether it's read-only or mutative, if it requires specific permissions, potential side effects, or response format. This leaves significant gaps for a query execution tool.

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's front-loaded and appropriately sized for the tool's complexity, making it easy to parse quickly.

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 no annotations, 0% schema coverage, and no output schema, the description is incomplete. It lacks details on behavioral traits, parameter usage, and expected outputs, which are crucial for a query execution tool with potential complexity and side effects.

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 schema provides no parameter details. The description mentions 'the provided Tinkerpop Gremlin' which hints at the 'query' parameter's content, but it doesn't explain the query format, syntax, or any constraints, offering minimal semantic value beyond the parameter name.

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 ('Executes') and the resource ('Tinkerpop Gremlin against the graph'), making the purpose understandable. However, it doesn't explicitly differentiate from sibling tools like 'run_opencypher_query' beyond mentioning Gremlin specifically, which is implied but not contrasted.

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 doesn't mention sibling tools like 'run_opencypher_query' for OpenCypher queries or when to prefer one query language over another, leaving usage context unclear.

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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