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Parsley MCP by usefulapi

List events

parsley_list_events
Read-only

List events (a workday, shift, service or catering event) that fall in a date window: id, name, type (standard, cafe-hot-bar, sale, forecast), date, start and end time, menu id. A bare date means the whole day in the account timezone. GET /events.

Input Schema

NameRequiredDescriptionDefault
endYesWindow end (inclusive): yyyy-mm-dd (to the end of that day) or an ISO 8601 date-time.
typeNoOnly this event type.
limitNoResults to return, 1-500 (default 100).
startYesWindow start (inclusive): yyyy-mm-dd or an ISO 8601 date-time. Without a timezone the account timezone applies.
offsetNoSkip this many results (default 0). Pass the previous reply's next_offset.
searchNoOnly events whose name contains this text (case-insensitive).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.9/5.0
Behavior4/5

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

Annotations already establish readOnlyHint=true and destructiveHint=false, so safety is covered. The description adds useful behavioral context: bare-date semantics in the account timezone, the returned fields, and the underlying GET endpoint.

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?

The description is front-loaded and compact: one dense sentence states the operation, scope, event types, and returned fields, followed by the endpoint. No sentence is wasted.

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?

Despite having no output schema, the description lists the returned fields and explains the key date-window semantics. Combined with the fully documented input schema and safety annotations, it is complete enough for an agent to call it correctly.

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 the schema already explains all six parameters in detail. The description reinforces the date-window behavior and event type values, but adds little parameter meaning beyond what the schema provides.

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?

The description uses a clear verb and resource ("List events") and defines the scope as events falling in a date window. It also names the event kinds covered, though it does not explicitly differentiate itself from the singular get_event sibling.

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?

The date-window and event-type filter provide implied usage context, but there is no explicit guidance on when to use this tool versus get_event or other event tools. No alternatives or exclusions are 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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