MCP Datadog Server

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description must fully disclose behavioral traits. It only states the action ('Create') without mentioning permissions required, whether it's idempotent, rate limits, what happens on failure, or the format of the creation request. 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.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, efficient sentence with no wasted words. It is front-loaded with the core action, making it easy to parse. Every word contributes to the purpose, though it lacks depth, this is a matter of completeness rather than conciseness.

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?

Given the complexity of a creation tool with no annotations, no output schema, and zero parameters, the description is incomplete. It does not explain what a 'Synthetic mobile test' entails, the expected input format (e.g., JSON body), or the return value. For a mutation operation, more context is needed to guide the agent effectively.

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% coverage, meaning no parameters are documented in the schema. The description does not add parameter details, but with zero parameters, the baseline is 4 as there is no need to compensate for missing schema information. However, it does not clarify if parameters are implied or handled differently (e.g., via request body), leaving a minor gap.

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 'Create a Synthetic mobile test' restates the tool name with minimal elaboration. It specifies the verb ('Create') and resource ('Synthetic mobile test'), but lacks detail on what constitutes a mobile test or its scope. Compared to siblings like 'create_synthetics_tests' and 'create_synthetics_tests_browsers', it does not clearly differentiate itself beyond the 'mobile' qualifier, making it somewhat tautological.

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?

No guidance is provided on when to use this tool versus alternatives. With siblings like 'create_synthetics_tests' (likely for general tests) and 'create_synthetics_tests_browsers' (for browser tests), the description does not indicate specific scenarios, prerequisites, or exclusions for mobile tests. This leaves the agent without context for tool selection.

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