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create_menu_item

ADMIN: Creates a menu item for a restaurant. Requires pac_cordinator or lunch_cordinator role. WRITE operation.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYes
caloriesNo
cost_centsNo
descriptionNo
ingredientsNo
price_centsNo
restaurant_idYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
idNo
nameNo
isActiveNo
priceCentsNo

Schema Changelog

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

  1. First observed

TDQS

B3/5.0
Behavior3/5

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

The readOnlyHint=false annotation already signals a mutation, and the description repeats this with 'WRITE operation', but it adds a specific role requirement (pac_cordinator or lunch_cordinator) that is not in the annotations. It does not describe failure modes, idempotency, or effects on existing data, but the annotation profile covers the basic write/destructive expectations.

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 very short and front-loaded with the ADMIN tag, with no wasted sentences. It loses one point because 'WRITE operation' largely repeats readOnlyHint=false and 'ADMIN' repeats the annotation title, but the overall structure is efficient.

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 7-parameter create operation with zero parameter descriptions, the description is too sparse to support fully correct invocation: parameter semantics, side effects, and sibling-tool routing are all missing. The presence of an output schema reduces the return-format burden, but the input side remains substantially underdocumented.

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%, so the description must carry the burden of explaining the 7 parameters. It only implies restaurant association and menu-item creation, leaving restaurant_id, name, calories, cost_cents, description, ingredients, and price_cents without semantic or unit context.

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 states a specific verb ('Creates'), a concrete object ('menu item'), and a parent scope ('for a restaurant'), which cleanly distinguishes this from siblings like create_restaurant, update_menu_item, and delete_menu_item. The ADMIN prefix adds an access boundary without obscuring the operation.

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 explicit when-to-use guidance or mention of alternatives such as update_menu_item for modifying existing items or set_daily_menu for daily menu assignments. The role requirement implies an admin-only caller but does not help an agent decide between this and related tools.

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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TDQS

A3.6/5.0
Disambiguation3/5

Most tools target distinct resources, but get_wallet_balance and get_wallet_status overlap heavily, and create_draft_order/order_lunch offer two order-creation paths that could be confused. get_orders/get_daily_orders/get_monthly_orders also share retrieval territory, though role/date filters help.

Naming Consistency4/5

Snake_case verb_object naming is used throughout and most names are predictable (create_*, update_*, get_*, list_*). Minor inconsistencies exist: list_ vs get_ for menu reads, order_lunch vs create_draft_order, and sign_up_to_volunteer breaks the simple verb_object pattern.

Tool Count3/5

25 tools is on the heavy end, and several could be merged, such as get_wallet_balance/get_wallet_status and some order-retrieval variants. The broad school-lunch/event/wallet domain justifies much of the surface, but it still feels slightly over-scoped.

Completeness4/5

The lunch order lifecycle (draft, finalize, cancel, view) and admin menu/event workflows are well covered. Minor gaps: no direct event-detail or shift-list tool is provided for sign_up_to_volunteer, and restaurants lack update/delete operations.