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dreamiurg

Datadog MCP Server

by dreamiurg

get-synthetic-results

Retrieve execution results for a Datadog Synthetic test to view pass/fail history, response times, and probe locations. Returns individual check results with timing data.

Instructions

Get execution results for a specific Synthetic test. Use after get-synthetic-tests to see pass/fail history, response times, and probe locations. Returns individual check results with timing data.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
publicIdYesThe synthetic test's public ID
fromTsNoStart timestamp (Unix epoch milliseconds)
toTsNoEnd timestamp (Unix epoch milliseconds)
probeDcNoFilter by probe datacenter locations
Behavior3/5

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

No annotations are present, so the description must carry the behavioral information. It mentions returning 'individual check results with timing data' and 'pass/fail history' but does not disclose authentication needs, rate limits, or whether it is read-only. This is adequate but not thorough.

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 three sentences, each adding distinct value: stating purpose, usage context, and return contents. No redundancy; perfectly front-loaded.

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

Completeness4/5

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

Given no output schema, the description adequately explains what is returned (pass/fail, response times, probe locations). It also provides usage context. Minor gaps like pagination or limits prevent a perfect score.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

All 4 parameters have descriptions in the input schema (100% coverage). The description adds no additional parameter meaning beyond the schema, so it meets the baseline of 3.

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

Purpose5/5

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

The description clearly states the action (Get), the resource (execution results for a specific Synthetic test), and differentiates from siblings like get-synthetic-tests by specifying it returns results for one test.

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

Usage Guidelines4/5

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

The description explicitly says 'Use after get-synthetic-tests to see pass/fail history...', providing clear usage context and ordering. It does not list alternatives or when not to use, but the guidance is helpful.

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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