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Waitwhile MCP by usefulapi

List audit entries

waitwhile_list_audit_entries
Read-only

The account's audit log: who changed what and when (visits, customers, locations, services, resources, users, messages). Filter by type, event, entity, location or date. GET /audit-entries.

Input Schema

NameRequiredDescriptionDefault
descNoNewest first.
typeNo
eventNoAudit event type.
limitNoResults per page, 1-100 (default 20).
to_dateNoISO 8601 date or date-time (e.g. 2026-10-01 or 2026-10-01T00:00:00Z).
entity_idNoId of the changed object.
from_dateNoISO 8601 date or date-time (e.g. 2026-10-01 or 2026-10-01T00:00:00Z).
location_idNo
start_afterNoCursor: pass the previous reply's next_start_after to get the next page.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4/5.0
Behavior3/5

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

Annotations already cover the safety profile (readOnlyHint=true, destructiveHint=false, openWorldHint=true), lowering the bar. The description adds the entity-type coverage of the log, which is genuinely useful context, but says nothing about pagination behavior, date-filter semantics, or result volume beyond what the schema exposes.

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 tightly packed sentences: purpose and scope first, filtering second, endpoint last. Every clause earns its place with no redundancy.

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 9-parameter, all-optional read tool with no output schema, the description supplies purpose, filter dimensions, and the underlying endpoint. Pagination mechanics are left to the schema, which is reasonable, so the only minor gap is guidance on result volume and cursor reuse in the description itself.

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?

Schema coverage is 78%, near the baseline-3 threshold, but the description goes further by grouping the filters into meaningful dimensions (type, event, entity, location, date) that map onto type, event, entity_id, location_id, and from/to_date. It is silent on desc, limit, and start_after, which the schema handles on its own.

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/resource pair (list the account's audit log) and immediately defines its content scope (who changed what and when) plus the covered entity types. No sibling tool offers audit data, so the agent can route here without ambiguity.

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?

'Filter by type, event, entity, location or date' implies the retrieval use case but never states when to use this versus other list tools or what prerequisite access it needs. Since no sibling overlaps in domain, the absence of an explicit alternative is tolerable but still leaves usage 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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