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ClaudioLazaro

MCP Datadog Server

create_app_builder_apps

Create new Datadog apps by generating app IDs through automated API interactions for monitoring and management workflows.

Instructions

Create a new app, returning the app ID.

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. It states it's a creation operation but doesn't disclose behavioral traits like required permissions, whether it's idempotent, rate limits, or what happens on failure. For a mutation tool with zero annotation coverage, this is a significant gap in transparency.

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 the action and return value with zero waste. It's appropriately sized for a no-parameter creation 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.

Completeness2/5

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

Given this is a mutation tool with no annotations, no output schema, and 0 parameters, the description is incomplete. It doesn't explain what an 'app' is in context, what data might be needed for creation (implied by no parameters but unclear), or the format of the returned app ID. For a creation operation, more context is needed despite the simple schema.

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% description coverage, so the schema fully documents that no parameters are required. The description doesn't need to add parameter details, and it correctly doesn't mention any. Baseline is high since there are no parameters to explain.

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 a new app') and the resource ('app'), and mentions the return value ('app ID'). It distinguishes from siblings like 'create_app_builder_app_deployment' by focusing on app creation rather than deployment. However, it doesn't specify what type of app (e.g., App Builder app) beyond the tool 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 not to use it, or compare with sibling tools like 'create_app_builder_app_deployment' or 'get_app_builder_apps'. The agent must infer usage from the 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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