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ClaudioLazaro

MCP Datadog Server

get_integration_azures

List all configured Datadog-Azure integrations in your account to monitor cloud resources and manage connections between Datadog and Azure services.

Instructions

List all Datadog-Azure integrations configured in your Datadog account.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

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 for behavioral disclosure. While 'List all' implies a read-only operation, it doesn't specify whether this requires authentication, what permissions are needed, if there are rate limits, pagination behavior, or what the output format looks like. For a tool with zero annotation coverage, this leaves significant behavioral gaps.

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 that directly states the tool's purpose with zero wasted words. It's appropriately sized for a simple listing tool and front-loads the key information.

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?

For a simple listing tool with no parameters and no output schema, the description provides the basic purpose but lacks important context. Without annotations or output schema, it should ideally mention what information is returned (e.g., integration names, IDs, status) or any limitations. The description is minimally adequate but leaves the agent to discover behavioral details through trial.

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 0 parameters with 100% schema description coverage (empty schema). The description doesn't need to add parameter semantics since there are no parameters to document. A baseline of 4 is appropriate as the description correctly implies no inputs are required for this listing operation.

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 ('List all') and the resource ('Datadog-Azure integrations configured in your Datadog account'), providing a specific verb+resource combination. However, it doesn't explicitly distinguish this tool from other integration-related tools in the sibling list (like 'get_integration_aws' or 'get_integration_gcp_accounts'), which would be needed for a perfect score.

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 any prerequisites, context for usage, or comparison with other integration listing tools in the sibling set. The agent must infer usage from the tool name alone.

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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