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Panther MCP Server

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list_alerts

Read-only

Retrieve and filter security alerts from Panther's monitoring platform by date, severity, status, log sources, and other criteria to investigate threats.

Instructions

List alerts from Panther with comprehensive filtering options

Args: start_date: Optional start date in ISO 8601 format (e.g. "2024-03-20T00:00:00Z") end_date: Optional end date in ISO 8601 format (e.g. "2024-03-21T00:00:00Z") severities: Optional list of severities to filter by (e.g. ["CRITICAL", "HIGH", "MEDIUM", "LOW", "INFO"]) statuses: Optional list of statuses to filter by (e.g. ["OPEN", "TRIAGED", "RESOLVED", "CLOSED"]) cursor: Optional cursor for pagination from a previous query detection_id: Optional detection ID to filter alerts by. If not provided, default date range (7days) is applied. event_count_max: Optional maximum number of events that returned alerts must have event_count_min: Optional minimum number of events that returned alerts must have log_sources: Optional list of log source IDs to filter alerts by log_types: Optional list of log type names to filter alerts by name_contains: Optional string to search for in alert titles page_size: Number of results per page (default: 25, maximum: 50) resource_types: Optional list of AWS resource type names to filter alerts by subtypes: Optional list of alert subtypes. Valid values depend on alert_type: - When alert_type="ALERT": ["POLICY", "RULE", "SCHEDULED_RULE"] - When alert_type="DETECTION_ERROR": ["RULE_ERROR", "SCHEDULED_RULE_ERROR"] - When alert_type="SYSTEM_ERROR": subtypes are not allowed alert_type: Type of alerts to return (default: "ALERT"). One of: - "ALERT": Regular detection alerts - "DETECTION_ERROR": Alerts from detection errors - "SYSTEM_ERROR": System error alerts

Permissions:{'all_of': ['Read Alerts']}

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
start_dateNoOptional start date in ISO-8601 format. If provided, defaults to the start of the current day UTC.
end_dateNoOptional end date in ISO-8601 format. If provided, defaults to the end of the current day UTC.
severitiesNoOptional list of severities to filter by
statusesNoOptional list of statuses to filter by
cursorNoOptional cursor for pagination returned from a previous call
detection_idNoOptional detection ID to filter alerts by; if not provided, default date range (7days) is applied
event_count_maxNoOptional maximum number of events an alert may contain
event_count_minNoOptional minimum number of events an alert must contain
log_sourcesNoOptional list of log‑source IDs to filter alerts by
log_typesNoOptional list of log‑type names to filter alerts by
name_containsNoOptional substring to match within alert titles
page_sizeNoNumber of results per page (max 50, default 25)
resource_typesNoOptional list of AWS resource‑type names to filter alerts by
subtypesNoOptional list of alert subtypes (valid values depend on alert_type)
alert_typeNoType of alerts to returnALERT

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

The description adds valuable behavioral context beyond the readOnlyHint annotation. It explains the default date range behavior when detection_id isn't provided, clarifies the relationship between alert_type and subtypes with specific valid combinations, and mentions pagination behavior with cursor/page_size. The permissions requirement ('Read Alerts') is also explicitly stated, which is crucial for authorization.

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

Conciseness2/5

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

The description is overly verbose and poorly structured. It front-loads the purpose but then includes a lengthy parameter documentation section that duplicates schema information. The permissions statement is tacked on at the end without integration. Many sentences (like the detailed parameter explanations) don't earn their place since this information is already in the structured schema.

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?

Given the tool's complexity (15 parameters, read-only operation, comprehensive filtering), the description is complete. It covers the purpose, key behavioral aspects (defaults, dependencies, pagination), and permissions. With both annotations (readOnlyHint) and an output schema (implied by context signals), the description doesn't need to explain safety or return values, and it provides adequate context for agent usage.

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?

With 100% schema description coverage, the input schema already documents all 15 parameters thoroughly. The description repeats much of this information (e.g., format examples, default behaviors, valid values) without adding significant new semantic meaning. It does provide slightly more context about subtype dependencies on alert_type, but this is largely redundant with schema examples.

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 tool's purpose with a specific verb ('List') and resource ('alerts from Panther'), distinguishing it from siblings like 'get_alert' (single alert) and 'list_alert_comments' (comments). It also mentions 'comprehensive filtering options' which sets expectations for a rich query interface.

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

Usage Guidelines4/5

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

The description provides clear context for when to use this tool (listing alerts with filtering) and implicitly distinguishes it from siblings through its comprehensive filtering focus. However, it doesn't explicitly state when NOT to use it or name specific alternatives like 'get_alert' for single alerts or 'list_detections' for detection listings.

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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