MCP Datadog Server

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

With no annotations, the description carries full burden but provides minimal behavioral insight. 'Trigger' implies a write/mutation action, but it doesn't clarify side effects (e.g., whether this starts test executions, consumes resources, or affects monitoring). It lacks details on permissions, rate limits, idempotency, or response format. The description is too vague to guide safe or effective use.

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, direct sentence with no wasted words. It's front-loaded with the core action ('Trigger'), though it lacks depth. For its brevity, it efficiently states the tool's intent without redundancy or unnecessary elaboration.

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 'trigger' action (likely a mutation with side effects), no annotations, no output schema, and a vague description, this is inadequate. The description doesn't explain what happens after triggering (e.g., test results, status updates), error conditions, or integration context. For a tool that presumably initiates synthetic tests, more operational details are needed for completeness.

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, so no parameter documentation is needed. The description doesn't add parameter details, which is acceptable given the empty schema. A baseline of 4 is appropriate since the schema fully covers the lack of parameters, and the description doesn't need to compensate.

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 'Trigger a set of Synthetic tests' restates the tool name ('create_synthetics_tests_triggers') without adding specificity. It lacks details about what 'trigger' means operationally (e.g., immediate execution, scheduling, batch processing) or what 'Synthetic tests' refer to (e.g., monitoring checks, performance tests). Compared to siblings like 'create_synthetics_tests' or 'create_synthetics_tests_trigger_cis', it doesn't distinguish its scope or mechanism.

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. It doesn't mention prerequisites (e.g., existing tests to trigger), timing considerations (e.g., ad-hoc vs. scheduled), or differentiate from similar tools like 'create_synthetics_tests_trigger_cis'. The agent must infer usage from the name alone, which is insufficient for informed selection.

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