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DigitalOcean MCP Server

by MCP-Mirror

configure_digitalocean_api

Set up API credentials to enable AI assistants to manage DigitalOcean cloud infrastructure programmatically through the MCP server.

Instructions

Configure DigitalOcean API credentials. Can be auto-configured from DIGITALOCEAN_API_TOKEN environment variable.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tokenYesDigitalOcean API token
baseUrlNoAPI base URL (default: https://api.digitalocean.com)https://api.digitalocean.com
Behavior2/5

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

No annotations are provided, so the description carries full burden. It discloses that credentials can be auto-configured from an environment variable, which is useful context about setup behavior. However, it lacks critical behavioral details: it doesn't specify whether this is a one-time configuration or persistent, what permissions are needed, if it validates the token, or what happens on success/failure. For a credential configuration tool with zero annotation coverage, this is a significant gap.

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 appropriately sized and front-loaded: a single sentence states the core purpose, and a second sentence adds valuable context about auto-configuration. Every sentence earns its place with no wasted words or redundancy.

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?

Given the tool's moderate complexity (credential configuration), no annotations, no output schema, and 100% schema coverage, the description is minimally adequate. It covers the basic purpose and a setup nuance, but lacks details on behavioral outcomes, error handling, or integration context. It's complete enough to understand what the tool does but not how it behaves in practice.

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 description coverage is 100%, so the schema already fully documents both parameters (token and baseUrl). The description adds no parameter-specific information beyond what's in the schema. It mentions the environment variable auto-configuration, which relates to the token parameter indirectly but doesn't explain parameter semantics. Baseline 3 is appropriate when the schema does all the work.

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 tool's purpose: 'Configure DigitalOcean API credentials' specifies the verb (configure) and resource (API credentials). It distinguishes from siblings like call_digitalocean_api (which executes API calls) and list_endpoints (which retrieves data). However, it doesn't explicitly differentiate from potential credential-management siblings that might exist elsewhere.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides implied usage guidance: it mentions auto-configuration from an environment variable, suggesting this tool is for manual credential setup when auto-configuration isn't available. However, it doesn't explicitly state when to use this tool versus alternatives (e.g., when environment variables are preferred, or if there are other credential methods). No exclusions or clear alternatives are named.

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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