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ClaudioLazaro

MCP Datadog Server

get_synthetics_test_results_v1

Retrieve detailed results from a specific Synthetic API test to analyze performance, identify issues, and monitor application health.

Instructions

Get a specific full result from a given Synthetic API test.

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 the full burden. It mentions 'Get a specific full result,' implying a read-only operation, but doesn't disclose behavioral traits like authentication needs, rate limits, error handling, or what 'full result' entails (e.g., format, size). This leaves significant gaps for a tool with zero annotation coverage.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

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 unnecessary words. It's appropriately sized for a simple tool, though it could be more front-loaded with additional context if needed.

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 no annotations, no output schema, and a description that only vaguely states the purpose without behavioral details, the description is incomplete. It fails to explain what a 'full result' includes, how to identify the 'specific' result, or any operational constraints, making it inadequate for effective tool use.

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, so no parameters need documentation. The description doesn't add parameter details, but with no parameters, this is acceptable. A baseline of 4 is appropriate as the schema fully covers the lack of parameters.

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

Purpose3/5

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

The description states the tool 'Get[s] a specific full result from a given Synthetic API test,' which provides a verb ('Get') and resource ('full result from a given Synthetic API test'). However, it's vague about what constitutes a 'specific full result' and doesn't distinguish from sibling tools like 'get_synthetics_test_results_v1_2' or 'get_synthetics_tests_browser_results_v1,' leaving ambiguity in scope.

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?

No guidance is provided on when to use this tool versus alternatives. The description lacks context about prerequisites, such as needing a test ID or result ID, and doesn't mention sibling tools like 'get_synthetics_test_results_v1_2' or 'get_synthetics_tests_browser_results_v1,' leaving the agent without usage 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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