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datadog-mcp-server

search-security-signals

Search and filter Datadog security monitoring signals by query, time range, and severity to detect and analyze threats.

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.
Behavior2/5

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

No annotations are provided, so the description carries the full burden. It does not disclose whether the operation is read-only, any side effects, rate limits, or pagination behavior. The agent cannot infer these critical behavioral traits.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is very short (one sentence), which is concise but sacrifices actionable detail. It is not front-loaded with key information like output format or usage hints.

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 complexity of a search tool with multiple parameters and no output schema, the description is inadequate. It fails to explain return values, pagination, or the effect of the query parameter. The schema provides some context but the description should add more.

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 for all 6 parameters, including enums and defaults. The description adds nothing beyond 'with query filtering', which is already implied. Baseline 3 is appropriate as the schema does the heavy lifting.

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 it searches Datadug security monitoring signals with query filtering, which is a specific verb+resource. However, among many sibling search tools (search-logs, search-audit-logs, etc.), it doesn't differentiate itself, so it's clear but not distinctive.

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, nor does it mention prerequisites or context. The agent is left to infer usage from the tool name alone.

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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