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Wild Apricot MCP by usefulapi

List accounts

wildapricot_list_accounts
Read-only

List the Wild Apricot accounts this API key can reach — id, name, primary domain, currency, contact limit. A cheap way to confirm the key works. Wild Apricot: GET /accounts.

Input Schema

NameRequiredDescriptionDefault

No arguments

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

A4.5/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, so the safety profile is covered. The description adds real value beyond that: it discloses the access scope ('this API key can reach'), the concrete fields returned, and the underlying endpoint (GET /accounts). It stops short of describing result limits or pagination.

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 plus a short endpoint reference, with the core purpose and scope front-loaded and the health-check use case following. Every clause carries information; no filler.

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?

With no parameters and no output schema, the description compensates by naming the fields a caller can expect back (id, name, primary domain, currency, contact limit), which is exactly the missing structured information. Nothing needed to call this correctly is absent.

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

Parameters4/5

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

The tool takes zero parameters, so there is nothing to document and the schema is trivially complete; per the baseline for 0-param tools this sits at 4. The description adds no parameter guidance because none is needed.

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 ('List the Wild Apricot accounts this API key can reach') and immediately distinguishes scope from the singular get_account sibling by enumerating the returned fields (id, name, domain, currency, contact limit). An agent can tell what this does without opening the schema.

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

Usage Guidelines4/5

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

Provides clear context for use: 'A cheap way to confirm the key works,' which signals a low-cost validation/health-check purpose. It does not, however, explicitly name an alternative or state when not to use it (e.g., to fetch a single account's detail, use get_account), so it falls short of the full 5.

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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