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ClaudioLazaro

MCP Datadog Server

create_integration_gcp_sts_delegates

Create a Datadog GCP principal to enable secure access between Google Cloud Platform services and Datadog monitoring systems.

Instructions

Create a Datadog GCP principal.

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 'Create' which implies a write/mutation operation, but doesn't disclose any behavioral traits like required permissions, whether it's idempotent, what happens on conflict, rate limits, or what the response looks like. For a creation 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 directly states the tool's purpose without any fluff. It's appropriately sized for a zero-parameter creation tool 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.

Completeness3/5

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

Given the tool has 0 parameters and no output schema, the description is minimally adequate but lacks important context. As a creation tool with no annotations, it should ideally mention what a 'Datadog GCP principal' is, why one would create it, or what the expected outcome is. The description meets basic requirements but leaves gaps for proper agent understanding.

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% coverage (empty object), so there are no parameters to document. The description doesn't need to add parameter semantics beyond what the schema provides. A baseline of 4 is appropriate since the schema fully covers the parameter situation (none exist).

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 'Create a Datadog GCP principal' clearly states the action (create) and resource (Datadog GCP principal). It distinguishes from siblings like 'create_integration_gcp_accounts' by specifying 'principal' rather than 'account', but doesn't explicitly differentiate beyond naming. The purpose is specific enough for understanding the core function.

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 like 'create_integration_gcp_accounts' or other GCP integration tools. There's no mention of prerequisites, context, or exclusions. The agent must infer usage solely from the tool name and description without explicit direction.

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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