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datadog-mcp-server

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search-ci-tests

Find CI test events (unit, integration) by applying query filters on service, status, and other attributes. Specify a time range and sort order to pinpoint relevant results.

Instructions

Search CI test events (unit tests, integration tests) with query filtering

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryNoCI test search query. Example: @test.service:my-app @test.status:fail*
fromYesStart time (ISO 8601 or relative). Example: now-24h
toYesEnd time (ISO 8601 or relative). Example: now
limitNoMax results (default 50, max 1000)
sortNoSort order-timestamp
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It only states it searches with query filtering, but does not disclose any behavioral traits such as permissions needed, performance impact, result format, or pagination behavior.

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 concise sentence of 14 words, front-loading the primary purpose. It is efficient with no fluff, though it could include slightly more context without harming conciseness.

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 the tool has 5 parameters, 2 required, no output schema, and no annotations, the description is too brief. It lacks information about return format, typical use cases, or limitations (e.g., query syntax details beyond the schema example).

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?

The input schema has 100% description coverage with detailed parameter descriptions (e.g., query example, from/to examples, limit max, sort enum). The description adds no additional meaning beyond the schema, so baseline of 3 is appropriate.

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 verb 'Search' and the resource 'CI test events', and explicitly mentions examples like unit and integration tests, which distinguishes it from sibling 'search-ci-pipelines' that searches CI pipeline events.

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 explicit guidance on when to use this tool versus alternatives (e.g., search-logs, search-spans). The description implies it's for CI test events but does not specify when not to use or mention any prerequisites or exclusions.

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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