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ClaudioLazaro

MCP Datadog Server

create_cost_aws_cur_configs

Set up AWS Cost and Usage Report configurations in Datadog to monitor and manage cloud spending effectively.

Instructions

Create a Cloud Cost Management account for an AWS CUR config.

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 the full burden of behavioral disclosure. While 'Create' implies a write/mutation operation, the description doesn't disclose any behavioral traits such as required permissions, whether this is idempotent, what happens if the config already exists, rate limits, or what the response contains. This is a significant gap for a creation tool with zero annotation coverage.

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 states exactly what the tool does with zero wasted words. It's appropriately sized and front-loaded with the essential information.

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 that this is a creation tool with no annotations, no output schema, and no parameters, the description is incomplete. It doesn't explain what happens after creation, what data is returned, error conditions, or any behavioral context. For a mutation operation with zero structured metadata, the description should provide more 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 input schema has 0 parameters with 100% schema description coverage, meaning there are no parameters to document. The description doesn't need to add parameter semantics beyond what the schema already provides (which is nothing, since there are no parameters). A baseline of 4 is appropriate for a zero-parameter tool where the schema fully covers the non-existent parameters.

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 ('Create') and the resource ('a Cloud Cost Management account for an AWS CUR config'), providing a specific verb+resource combination. It distinguishes this tool from other 'create_' tools by specifying the exact type of account being created, though it doesn't explicitly differentiate from its closest sibling 'create_cost_azure_uc_configs' beyond the cloud provider name.

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 prerequisites, when this should be used instead of other cost configuration tools, or any contextual constraints. 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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