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wyre-technology

proofpoint-mcp

proofpoint_dlp_list_incidents

List DLP incidents to identify policy violations and sensitive data detections. Filter by status, severity, or date range to review triggered messages.

Instructions

List DLP incidents. Returns messages that triggered DLP rules, including policy violations and sensitive data detections.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pageNoPage number (default: 1)
statusNoFilter by incident status
endDateNoEnd date in ISO 8601 format
per_pageNoResults per page (default: 50)
severityNoFilter by severity level
startDateNoStart date in ISO 8601 format
Behavior3/5

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

No annotations are present, so the description carries the burden. It discloses that it returns messages with policy violations and sensitive data detections, but does not mention pagination, default date ranges, or response structure, leaving some behavior unexplored.

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?

Two sentences with no redundancy. The first states the action and target, the second adds relevant detail. Front-loaded and efficient.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Without an output schema, the description should explain return format and behavior more. It is vague about what fields are returned and how filters interact. Adequate for a basic list, but incomplete for a production tool.

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 covers 100% of parameters with descriptions, so the baseline is 3. The description adds no additional parameter semantics, relying entirely on the schema.

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 uses the specific verb 'List' and resource 'DLP incidents', and further clarifies that it returns messages triggered DLP rules. This differentiates from sibling tools like get_incident and list_encrypted by scope.

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 vs alternatives. While the purpose is clear, there is no mention of using get_incident for a single incident or list_encrypted for encrypted messages, leaving the agent to infer usage.

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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