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Wild Apricot MCP by usefulapi

List audit log items

wildapricot_list_audit_log
Read-only

List audit log items (membership changes, payments, invoices and other admin/member activity) within a date range. Wild Apricot: GET /accounts/{accountId}/auditLogItems.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
topNoMaximum records to return, 1-100 (Wild Apricot's cap is 100).
skipNoRecords to skip, for paging with top.
end_dateNoItems created before this date (YYYY-MM-DD).
start_dateNoItems created on/after this date (YYYY-MM-DD).

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / $schema
      Previous value: -"http://json-schema.org/draft-07/schema#"New value: +"https://json-schema.org/draft/2020-12/schema"
  2. First observed

TDQS

C2.9/5.0
Behavior2/5

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

readOnlyHint=true already covers the safety profile, and the description adds little beyond that – essentially restating the operation and naming the underlying endpoint. It does not mention default date behavior, pagination semantics, or the practical limits on querying history (the 100-record cap lives only in the schema).

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

Conciseness4/5

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

Two compact sentences with the scope stated first and the API endpoint appended as supporting detail. No padding, though the endpoint path is arguably redundant for an agent that has the schema.

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?

For a simple read-only list tool with no output schema, the definition is minimally adequate. It does not explain return shape, ordering, or how paging interacts with the date window, which an agent would need to page results reliably.

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 description coverage is 100%, so top, skip, start_date and end_date are already fully documented with bounds and format patterns. The description's 'within a date range' adds nothing beyond what start_date/end_date descriptions provide, so the baseline 3 is warranted.

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?

States a specific verb ('List') and resource ('audit log items') and clarifies the record types returned (membership changes, payments, invoices, admin/member activity), which helps separate it from siblings like wildapricot_list_payments or wildapricot_list_invoices. It stops short of explicitly contrasting with those siblings, but the 'audit log' framing is clear.

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 only usage cue is 'within a date range', which hints at date-scoped queries but gives no when-to-use guidance relative to alternatives. An agent cannot tell from this text whether to reach for the audit log or the dedicated payments/invoices listing tools when investigating a specific transaction.

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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