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Wild Apricot MCP by usefulapi

List donations

wildapricot_list_donations
Read-only

List donations — donor, amount, date, comments and donation field values — optionally within a date range. Wild Apricot: GET /accounts/{accountId}/donations.

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_dateNoCreated before this date (YYYY-MM-DD).
ids_onlyNoWhen true, return only matching ids.
start_dateNoCreated 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

A3.6/5.0
Behavior3/5

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

readOnlyHint=true already declares this is a safe read, so the bar is lower. The description adds the returned field set and the underlying REST endpoint (GET /accounts/{accountId}/donations), which is useful context, but says nothing about paging behavior or default result size beyond what the schema states.

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?

A single front-loaded sentence: identity and returned fields first, optional filter and endpoint last. No filler or repetition.

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 a read-only list tool with full parameter documentation and no output schema, the description covers purpose, fields and the date filter adequately. Minor gaps remain around pagination defaults and whether results are capped in practice, but nothing blocks correct invocation.

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, ids_only, start_date and end_date are all already documented. The description only reinforces the date-range usage, adding no new syntax or semantics. Baseline 3 applies.

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+resource ('List donations') and enumerates the returned fields (donor, amount, date, comments, donation field values), so an agent knows exactly what it gets. It does not explicitly distinguish itself from sibling list tools like list_payments or list_invoices, which is the only thing keeping it from a 5.

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?

'optionally within a date range' implies the one conditional usage mode, but there is no explicit when-to-use/when-not guidance and no routing to an alternative sibling. Usage is implied rather than stated.

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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