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alex-zwingli

plan-to-eat-mcp

by alex-zwingli

set_planner_servings

Update the number of servings for a specific planner event to adjust ingredient quantities accordingly.

Instructions

Set the servings count on a recipe planner event.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
event_idYes
servingsYes

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv0.5.1

TDQS

C2.6/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It only states the action without mentioning side effects, permissions, reversibility, or impact on other data. This is insufficient for a mutation tool.

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 description is a single concise sentence that is front-loaded with the primary action. It is appropriately sized for the operation, though it lacks critical details that would be covered under other dimensions.

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

Completeness2/5

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

For a tool with two required parameters, no output schema, and no annotations, the description is incomplete. It does not explain the event_id, the effect on the planner event, or any constraints on servings. An agent would need to look elsewhere for essential context.

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

Parameters1/5

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

Schema description coverage is 0%, and the description does not explain either parameter. It mentions 'servings count' but not the event_id or constraints on servings. The description adds no meaning beyond the schema, leaving the agent without guidance on what these parameters represent.

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 states a specific verb ('Set') and resource ('servings count on a recipe planner event'), which clearly identifies the tool's function. It does not explicitly mention sibling tools, but the uniqueness of the action (setting servings) distinguishes it from other planner operations.

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?

The description provides no guidance on when to use this tool versus alternatives, nor does it mention any prerequisites or conditions. The agent must infer usage from the tool name and schema.

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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