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Datadog Synthetics Summary

dd_synthetics_summary
Read-only

List all Datadog Synthetic tests and their config status (live|paused). This is inventory, NOT pass/fail of the last run. For execution results use synthetics_summary_by_location(hours) or dd_synthetics_results(publicId|nameContains).

Input Schema

NameRequiredDescriptionDefault
context_idNoOptional explicit Connection Hub work context (ctx_*). Omit to use the conversation's active workspace; global Hub tools ignore it.

Output Schema

NameRequiredDescriptionDefault
okYes
dataYes
contractVersionYes
dataSchemaVersionYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed4 schema fields changed
    • changedOutput schema / properties / data / additionalProperties
      Previous value: -trueNew value: +false
    • changedOutput schema / properties / data / properties / items / items / additionalProperties
      Previous value: -trueNew value: +false
    • addedOutput schema / properties / dataSchemaVersion
      Added value: +{
      +  "const": 2,
      +  "type": "number"
      +}
    • changedOutput schema / required
      Previous value: -[
      -  "contractVersion",
      -  "ok",
      -  "data"
      -]New value: +[
      +  "contractVersion",
      +  "dataSchemaVersion",
      +  "ok",
      +  "data"
      +]
  2. First observed

TDQS

A4.7/5.0
Behavior4/5

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

Annotations already establish readOnly/non-destructive/non-open-world, so safety is covered. The description adds real behavioral context beyond that: what the returned status field means (config state, not run outcome). It does not mention result volume, pagination, or any workspace/auth caveats, which keeps it short of a 5.

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?

Three short sentences: identity, the key disambiguation, then the alternatives. Zero filler and the most important qualifier (inventory, not results) lands in the second sentence.

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

Completeness5/5

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

With an output schema present, safety annotations, and a single optional hub parameter, the description needs only to state scope and route to siblings. It does both, and the run-result boundary is the one thing an agent would otherwise get wrong.

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?

There is effectively one optional parameter, context_id, and the schema documents it at 100% coverage. The description correctly adds nothing about parameters, which is appropriate here, though it also gives no hint about scoping behavior (workspace-wide vs context-limited).

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?

States a specific verb and resource (list Synthetic tests) and the exact attribute returned (config status live|paused). It also pre-empts the most likely misreading by declaring this is inventory, NOT pass/fail, which separates it cleanly from dd_synthetics_results and synthetics_summary_by_location.

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

Usage Guidelines5/5

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

Gives an explicit when-not ('For execution results use...') and names both alternatives with their distinguishing parameters (hours, publicId|nameContains). An agent can route between the three Synthetics tools without opening any schema.

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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