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ClaudioLazaro

MCP Datadog Server

update_synthetics_test_v1_2

Modify Synthetic test configurations using partial data updates to adjust monitoring parameters and settings as needed.

Instructions

Patch the configuration of a Synthetic test with partial data.

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 full burden. It states 'Patch' which implies a mutation operation, but doesn't disclose any behavioral traits: no information about required permissions, whether changes are reversible, rate limits, error conditions, or what happens to unspecified fields (partial vs full update implications). The description is minimal and lacks essential context for a mutation tool.

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 a single, efficient sentence that front-loads the key information: it's a patch operation for Synthetic test configuration using partial data. There's zero wasted verbiage or redundancy.

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?

For a mutation tool with no annotations, no output schema, and an empty input schema (suggesting body parameters may be defined elsewhere), the description is inadequate. It doesn't explain what 'partial data' means in practice, what fields can be updated, authentication requirements, or expected response format. The agent lacks sufficient information to use this tool correctly.

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% description coverage (empty schema). The description adds value by clarifying this is a 'patch' operation with 'partial data', suggesting the tool likely uses a request body not captured in the schema. Since there are no parameters to document, the description provides useful semantic context about the operation type.

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

Purpose4/5

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

The description clearly states the action ('Patch') and resource ('configuration of a Synthetic test'), specifying it operates with 'partial data'. This distinguishes it from a full replacement update. However, it doesn't explicitly differentiate from sibling tools like 'update_synthetics_tests_browser' or 'update_synthetics_tests_mobile', which target specific test types.

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?

The description provides no guidance on when to use this tool versus alternatives. It doesn't mention prerequisites (e.g., needing an existing test ID), when partial updates are appropriate versus full replacements, or how it differs from other update tools in the sibling list like 'update_synthetics_test_v1' or 'synthetics_update_test'.

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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