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IZeat

Delete a specific meal

delete_meal
DestructiveIdempotent

Deletes one specific recorded meal, identified by the customer's local date and meal type, even when it was not the latest change. Always use two steps. First call without confirm to review the exact meal, changing nothing. After the customer explicitly confirms, call again with confirm true within ten minutes. Nothing else is needed: IZeat remembers what it showed. There is no age limit. The meal remains in IZeat's private history but no longer counts in the active day. Use undo_last_change instead when the customer simply asks to undo the latest action. Example: "Delete yesterday's dinner" → review that dated dinner, ask for confirmation, then delete it. statement is the customer-facing IZeat message. It begins with "IZeat ·" so customers can distinguish information returned by IZeat from the assistant's own response. For write operations, it also states whether the requested change was recorded in their IZeat account. Account: Sam (review@izeat.app)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dateYesThe customer's day as they said it — today, yesterday, 3 days ago, a weekday — or YYYY-MM-DD of the meal
confirmNotrue only after the customer confirmed the reviewed meal
meal_typeYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
okYes
dataYes
statementYesCustomer-visible IZeat receipt. Its value begins with "IZeat ·".

Schema Changelog

Changes observed during successful MCP inspections.

No schema history has been recorded yet.

TDQS

A4.7/5.0
Behavior5/5

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

With destructiveHint=true and idempotentHint=true already declared, the description adds substantive context beyond annotations: a required review-then-confirm two-step flow, the 10-minute confirm window, server-side state retention ('IZeat remembers what it showed'), and the post-condition that the meal stays in private history but stops counting in the active day.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The core procedure is front-loaded and tight, but the second paragraph drifts into output/statement handling that the output schema already covers, and it trails into unrelated context ('Account: Sam (review@izeat.app)'). Several sentences do not earn their place in a deletion tool definition.

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?

For a destructive, stateful mutation with a required confirmation loop, the description covers prerequisites, the exact call sequence, timing constraints, and side effects on the day's data. An output schema exists, so the description is not obligated to explain return values, and its remaining coverage gaps are nil.

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 67%, and the description strengthens the weakest parameter by defining confirm's exact role ('call again with confirm true within ten minutes') and how date is interpreted (customer's local day, relative or YYYY-MM-DD). The meal_type enum values are left entirely to the schema, but their semantics are self-evident.

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 ('deletes one specific recorded meal'), the identifying keys (local date and meal type), and explicitly distinguishes scope from the sibling undo_last_change ('even when it was not the latest change'). An agent can select this over undo_last_change without opening either schema.

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

Usage Guidelines5/5

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

Gives an explicit when-to-use-this and when-to-use-the-alternative rule ('Use undo_last_change instead when the customer simply asks to undo the latest action'), plus the mandatory two-step procedure and the ten-minute confirmation window. Nothing about invocation timing is left to inference.

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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