Skip to main content
Glama

joiva_remove_food_rule

DestructiveIdempotent

Remove a food rule by its ruleId. The food is then unremarkable again.

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": {
      "ruleId": "<ruleId>"
    },
    "name": "joiva_remove_food_rule"
  }
}

Input Schema

NameRequiredDescriptionDefault
ruleIdYesId of the food rule

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / properties / ruleId / description
      Previous value: -"ruleId aus joiva_list_food_rules"New value: +"Id of the food rule"
  2. First observed

TDQS

B3.2/5.0
Behavior3/5

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

The annotations already disclose that this is a destructive, idempotent, non-read-only operation. The description attempts to add the post-removal effect with 'The food is then unremarkable again,' but that phrase is undefined and provides little actionable context about what changes for the food.

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

Conciseness4/5

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

The primary operation and required identifier are front-loaded in a short first sentence. The second sentence is concise but awkward and ambiguous, so it adds less value than its prominent placement suggests.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple one-parameter deletion with rich safety annotations, the definition is minimally adequate for invocation. However, the unclear postcondition and absence of ID-discovery or removal-versus-update guidance leave noticeable selection and workflow gaps.

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%, and ruleId is already documented as the food-rule ID with a UUID format. The description's reference to ruleId merely reinforces that information rather than adding discovery, validation, or usage details.

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 clearly states the verb, resource, and lookup key: removing a food rule by its ruleId. It distinguishes the basic operation from adding, updating, or listing rules, but does not explicitly differentiate when those sibling tools are preferable.

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

Usage Guidelines2/5

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

There is no meaningful when-to-use guidance beyond the operation itself. It does not direct agents to joiva_list_food_rules to obtain a ruleId or explain when removal is appropriate instead of joiva_update_food_rule.

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

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

Resources