MCP Datadog Server

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

Annotations are minimal (Zod schema metadata without hints like readOnlyHint or destructiveHint), so the description carries the burden. It discloses that the tool uses POST to update configuration by adding to existing integration, which implies mutation behavior. It also mentions 'role based authentication' and 'unique AWS Account ID', adding useful context. However, it doesn't cover error conditions, rate limits, or response format, leaving gaps in behavioral understanding.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is three sentences with some redundancy (e.g., mentioning 'POST method' and 'updates your integration configuration' could be combined). It's front-loaded with the main purpose but includes technical details that might be verbose. While not overly long, it could be more streamlined for better clarity.

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

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

Given the tool has 0 parameters, no output schema, and minimal annotations, the description provides basic purpose and some behavioral context (authentication, configuration update method). However, it lacks details on what the integration entails, expected outcomes, error handling, or how it fits with sibling tools. For a creation tool with no structured guidance, this is adequate but incomplete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema has 0 parameters with 100% description coverage, so the schema fully documents that no parameters are required. The description adds value by implying that AWS Account ID for authentication is needed (though not as a parameter), which provides context about what the tool expects. Since there are no parameters, the baseline is 4, and the description adds some semantic context.

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

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

The description clearly states the action ('Create a Datadog-Amazon Web Services integration') and specifies the resource involved. It distinguishes from siblings like 'create_integration_azure' or 'create_integration_gcp_accounts' by specifying AWS. However, it doesn't explicitly differentiate from other AWS-related create tools (e.g., 'create_integration_aws_logs'), which prevents 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.

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

The description provides minimal guidance: it mentions using POST method and that it updates configuration by adding to existing ones. However, it lacks explicit when-to-use instructions, prerequisites (e.g., authentication requirements), or alternatives (e.g., when to use 'update_integration_aws' instead). No sibling tool comparisons are made, 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.