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ClaudioLazaro

MCP Datadog Server

synthetics_create_test

Create a synthetic monitoring test to proactively detect issues and ensure application performance by simulating user interactions and API calls.

Instructions

Create a Synthetics test

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior1/5

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 but fails completely. It doesn't indicate whether this is a read or write operation (though 'Create' implies mutation), what permissions are required, whether it's idempotent, what happens on failure, or what the expected response format might be. For a creation tool with zero annotation coverage, this is severely inadequate.

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 extremely concise at just three words. There's no wasted language or unnecessary elaboration. While it's under-specified in terms of content, from a pure conciseness perspective, it's maximally efficient with every word carrying essential meaning.

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

Completeness1/5

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

The description is completely inadequate given the context. With no annotations, no output schema, and being a creation/mutation tool, the description should provide much more information about behavior, requirements, and expected outcomes. The single phrase doesn't give the agent enough information to understand when and how to use this tool effectively.

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, so there are no parameters to document. The description doesn't need to compensate for any parameter gaps. However, it also doesn't mention that there are no required parameters, which could be slightly helpful context. Baseline for 0 parameters is 4.

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

Purpose2/5

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

The description 'Create a Synthetics test' is a tautology that essentially restates the tool name 'synthetics_create_test'. It specifies the verb 'Create' and resource 'Synthetics test', but provides no additional detail about what a Synthetics test is or what creation entails. It doesn't distinguish from sibling tools like 'create_synthetics_tests' or 'create_synthetics_tests_browsers'.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines1/5

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

The description provides absolutely no guidance on when to use this tool versus alternatives. With multiple sibling tools related to synthetics tests (create_synthetics_tests, create_synthetics_tests_browsers, create_synthetics_tests_mobiles, etc.), there's no indication of when this specific tool should be selected. No prerequisites, context, or exclusions are mentioned.

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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