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AkM-2018

Amazon Neptune MCP Server

by AkM-2018

get_graph_status

Check the operational status of your Amazon Neptune graph to verify connectivity and health for graph database queries.

Instructions

Get the status of the currently configured Amazon Neptune graph.

Input 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 states this is a read operation ('Get'), implying it's non-destructive, but doesn't mention authentication requirements, rate limits, error conditions, or what 'status' entails (e.g., health metrics, configuration details). The description is minimal and lacks operational 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?

The description is a single, efficient sentence with no wasted words. It's front-loaded with the core action ('Get the status'), making it immediately clear. Every word earns its place, and there's no redundancy or fluff.

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 tool's simplicity (0 parameters, no annotations, no output schema), the description is incomplete. It doesn't explain what 'status' includes (e.g., uptime, version, connectivity) or the return format, leaving the agent guessing. For a status-checking tool, this lacks necessary operational context.

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?

The tool has zero parameters, and schema description coverage is 100% (empty schema). The description doesn't need to explain parameters, and it correctly implies no inputs are required by focusing on the 'currently configured' graph. This meets the baseline of 4 for zero-parameter tools.

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 verb ('Get') and resource ('status of the currently configured Amazon Neptune graph'), making the purpose immediately understandable. It doesn't explicitly differentiate from sibling tools like 'get_graph_schema' or query tools, but the focus on 'status' rather than schema or query execution provides implicit distinction.

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 'get_graph_schema' or the query tools. It doesn't mention prerequisites (e.g., whether a graph must be configured first) or typical use cases (e.g., health checks, monitoring). The agent receives no explicit usage context.

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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