cronometer-api-mcp

remove_food_entry

DestructiveIdempotent

Remove food entries from your Cronometer diary by specifying entry IDs and an optional date.

Instructions

Remove one or more food entries from the Cronometer diary.

Use get_food_log to find entry IDs.

Args: entry_ids: List of serving/entry IDs to remove. date: Date the entries belong to as YYYY-MM-DD (defaults to today).

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "entry_ids": "<entry_ids>"
    },
    "name": "remove_food_entry"
  }
}

Input Schema

Name	Required	Description	Default
`date`	No
`entry_ids`	Yes

Output Schema

Name	Required	Description	Default
`result`	Yes

Schema Changelog

Changes observed during successful MCP inspections.

First observedv0.1.0Jul 28, 2026

TDQS

A4.4/5.0

Behavior3/5

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

The annotations already carry the key behavioral hints: destructiveHint=true, readOnlyHint=false, and idempotentHint=true. The description adds the target ('Cronometer diary') and the 'one or more' batch capability, but it does not disclose potential side effects, failure semantics, or irreversibility beyond what 'Remove' and the destructve annotation imply.

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 compact and front-loaded with the purpose, followed by a short prerequisite and an Args list. Every sentence contributes necessary information and there is no filler or unnecessary repetition.

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?

Given two simple parameters, an output schema, and annotations covering destructive/idempotent behavior, the description is complete: it states what is removed, how to find valid IDs, and how to specify the date. No critical information needed to invoke the tool correctly is missing.

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

Parameters5/5

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

Schema description coverage is 0%, but the description compensates fully by explaining both parameters: entry_ids is 'List of serving/entry IDs to remove,' and date is 'YYYY-MM-DD (defaults to today).' It adds format and default semantics that the input schema, which only declares 'string or null', does not provide.

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 a specific action and resource: 'Remove one or more food entries from the Cronometer diary.' This clearly distinguishes it from sibling tools like edit_food_entry or add_food_entry by naming the removal operation and the target (diary entries).

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?

The description gives explicit prerequisite guidance: 'Use get_food_log to find entry IDs,' which tells the agent how to obtain the required parameter. However, it does not explicitly state when not to use this tool or compare it to alternatives such as edit_food_entry, so it lacks full exclusion guidance.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Deploy Server