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shigechika

boxadm-mcp

by shigechika

recent_admin_events

Fetch enterprise admin event logs to inspect sharing and collaboration actions. Filter by event type and time window for early-warning leakage detection.

Instructions

Fetch recent enterprise admin_logs events (raw passthrough).

Diagnostic/starter tool: returns Box events verbatim so the real event types and field shapes can be confirmed before analytics tools are layered on. For external-sharing work the event types of interest are typically COLLABORATION_INVITE / COLLAB_ADD_COLLABORATOR, SHARED_LINK_CREATED / ITEM_SHARED_CREATE, and DOWNLOAD / PREVIEW.

Args: event_types: Comma-separated Box event_type filter (empty = all types). since_hours: Look-back window in hours (default 24). limit: Max events to return in this page (default 100). stream_position: Continue a previous page by passing back the next_stream_position from the prior call (empty = first page). Box caps a single page at 500, so manual paging is needed to walk a busy window — or use external_access_events which pages for you.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
event_typesNo
since_hoursNo
stream_positionNo
Behavior5/5

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

With no annotations, the description fully discloses behavior: it returns raw Box events verbatim, Box caps a single page at 500, manual paging is needed, and lists typical event types for external-sharing work. No contradictions.

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?

Well-structured: a one-line summary followed by a paragraph explaining its diagnostic purpose, then a clear bullet-style args list, and a note on paging with sibling reference. No superfluous text; every sentence adds value.

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 no output schema, the description explains that results are raw events verbatim and gives examples of relevant event types. It also covers pagination limitations and directs to a sibling for automatic paging. Complete for a diagnostic tool of this complexity.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Though schema description coverage is 0%, the description provides detailed explanations for all 4 parameters: 'event_types' as comma-separated filter, 'since_hours' as look-back window, 'limit' as max events per page, and 'stream_position' for pagination. This fully compensates for the lack of schema descriptions.

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 it fetches recent enterprise admin_logs events as a raw passthrough. It distinguishes itself from sibling tools like 'external_access_events' by noting that this tool requires manual paging, while the sibling pages automatically.

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

Usage Guidelines5/5

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

Explicitly positions itself as a diagnostic/starter tool to confirm event types and field shapes before using analytics tools. Specifically mentions when to prefer 'external_access_events' for automatic paging, providing clear when-to-use and when-not-to-use guidance.

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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