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Get the audit log

bunny_get_audit_log
Read-only

Who changed what on one day: the account audit log (timestamp, product, resource, action, actor and a diff). Paginate with continuation_token. bunny.net: GET /user/audit/{date}.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dateYesThe day to read, YYYY-MM-DD.
limitNoMax entries, 1-10000. Default 100.
orderNoSort by time.
productNoOnly these products.
actor_idNoOnly changes by these actors.
resource_idNoOnly these resource IDs.
resource_typeNoOnly these resource types.
continuation_tokenNoContinuationToken from the previous page.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4/5.0
Behavior4/5

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

The readOnlyHint annotation already establishes safety, so the description's burden is lower. It still adds real value by disclosing the one-day temporal scope, the pagination mechanism, and the shape of the returned entries (including a diff), which goes beyond what the annotation conveys.

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?

Three tight clauses, front-loaded with the core purpose, then pagination, then the endpoint. No sentence is redundant and nothing is buried.

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

Completeness4/5

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

For an 8-parameter read-only list tool with no output schema, the description covers the essential shape of the response and the pagination path, which is what an agent needs to call it correctly. It stops short of explaining filtering combinations, but the 100% schema coverage absorbs that gap.

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 coverage is 100%, so every parameter is already documented in the schema, establishing the baseline of 3. The description reinforces the date scoping and the continuation_token pagination but adds no syntax, default, or filtering semantics beyond the schema text.

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?

States a specific verb and resource ('get the account audit log') and adds a memorable framing ('who changed what on one day'). The enumerated return fields and the underlying endpoint (GET /user/audit/{date}) make its scope unmistakable and distinguish it from every sibling, none of which surface audit data.

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

Usage Guidelines3/5

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

It gives a useful operational hint ('Paginate with continuation_token') but no explicit when-to-use or when-not guidance. Since no sibling overlaps with audit-log retrieval, the usage is largely self-evident, but the description never states prerequisites or alternatives, leaving it at implied 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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