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Parsley MCP by usefulapi

Record event sales

parsley_record_event_sales
DestructiveIdempotent

WRITE: push sold quantities per menu item to a cafe/hot bar event, which feeds Parsley's cost and usage reports. Other event types are refused by Parsley, as is a menu item with no made quantity on the event. Sending the same quantities again overwrites rather than adds. PUT /events/{id}/sales.

Input Schema

NameRequiredDescriptionDefault
salesYesSold amount per menu item.
event_idYesParsley event id of a cafe/hot bar event.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.2/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=false, destructiveHint=true, idempotentHint=true and openWorldHint=true; the description corroborates these by stating that identical quantities overwrite rather than add. It adds real value beyond the annotations by disclosing server-side rejection rules (wrong event type, item with no made quantity) and the underlying PUT endpoint. It doesn't cover auth needs or error payloads, so it is not a 5.

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?

Three sentences, front-loaded with 'WRITE:' to flag the operation class, then payload purpose, then refusal and overwrite semantics, then the endpoint. No filler and no repetition of schema detail.

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?

With no output schema and only a nested array payload, the description supplies the write semantics, rejection conditions, and idempotency behavior an agent needs to call it correctly. It is slightly thin on what a successful response looks like and on what 'made quantity' means operationally, which keeps it from a 5.

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%, including the uom list, amount bounds, and the item_id-vs-menu_item choice, so the schema carries parameter meaning. The description only summarizes the payload as 'sold quantities per menu item' and adds no syntax or selection guidance beyond that. Baseline 3 is appropriate.

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?

The description opens with an explicit verb-and-resource statement ('push sold quantities per menu item to a cafe/hot bar event') and states the downstream purpose (cost and usage reports). It also distinguishes this write from the other event-related siblings by scoping it to cafe/hot bar events that have made quantities.

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?

It gives concrete preconditions: only cafe/hot bar events are accepted, and every menu item must have a made quantity or Parsley refuses the call. It also states the overwrite-not-accumulate rule, which tells the agent how to re-send data. It does not explicitly route to a sibling tool as an alternative, so it stops short of a 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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