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datadog-mcp-server

search-security-signals

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Search Datadog security monitoring signals using query filters and time range. Identify threats by severity, type, or custom queries.

Instructions

Search Datadog security monitoring signals with query filtering

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryNoSecurity signal search query. Example: type:log_detection status:high or **
fromYesStart time (ISO 8601). Example: 2026-02-26T00:00:00Z
toYesEnd time (ISO 8601). Example: 2026-02-26T23:59:59Z
limitNoMax results (default 50, max 1000)
sortNoSort order: -timestamp (newest first) or timestamp (oldest first)-timestamp
extractFieldsNoComma-separated dotted paths to project from response (e.g. 'id,name,owner.name,columns.*.name'). Use `*` as wildcard for arrays/objects. Wrap field names with dots in backticks. Reduces response tokens dramatically on large entities.
Behavior3/5

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

Annotations already declare readOnlyHint=true and openWorldHint=true, covering the safety and variability profile. The description adds no further behavioral details (e.g., pagination, rate limits), but does not contradict annotations.

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?

Single sentence, front-loaded with verb and resource. Efficient and to the point, though could benefit from minor elaboration.

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?

Despite 6 parameters and no output schema, the description omits what a security signal is, the return format, or any context beyond 'searching'. Annotations help but additional behavioral details would improve completeness.

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?

Schema description coverage is 100% (all 6 parameters have descriptions). The tool description adds no additional meaning beyond the schema, meeting the baseline for high coverage.

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 verb 'search' and resource 'Datadog security monitoring signals', indicating a query-based retrieval tool. It distinguishes from siblings like 'get-security-signal' (single) and 'list-security-rules' (different resource), but does not explicitly differentiate from other search tools.

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 on when to use this tool versus alternatives such as 'get-security-signal' or other search tools. The description implies usage but provides no explicit context 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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