MCP Datadog Server

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. 'Update' implies a mutation operation, but the description doesn't specify what aspects can be updated, whether this requires specific permissions, what happens on success/failure, or any rate limits. It provides minimal context beyond the basic action.

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 a single, efficient sentence that directly states the tool's purpose without any fluff. It's appropriately sized for a simple update operation and front-loads the essential information. Every word earns its place.

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?

For a mutation tool with no annotations, no output schema, and 0 parameters, the description is incomplete. It doesn't explain what 'updating' entails (which fields/settings), what the expected outcome is, or any error conditions. The agent lacks sufficient context to use this tool effectively beyond knowing it exists.

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, meaning there are no parameters to document. The description doesn't need to compensate for any parameter gaps, so it meets the baseline expectation for a parameterless tool. No additional parameter information is required or provided.

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 ('Update') and the resource ('a Datadog-Amazon Web Services integration'), providing a specific verb+resource combination. However, it doesn't distinguish this tool from sibling update tools like 'update_integration_azures' or 'update_integration_gcp_account', which follow the same pattern for different cloud providers.

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 no guidance on when to use this tool versus alternatives. There's no mention of prerequisites (e.g., an existing integration to update), when-not-to-use scenarios, or how it differs from other AWS-related tools like 'create_integration_aws' or 'delete_integration_aws'.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.