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update_menu_item

ADMIN: Updates a menu item. Requires pac_cordinator or lunch_cordinator role. WRITE operation.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameNo
caloriesNo
is_activeNo
cost_centsNo
descriptionNo
ingredientsNo
price_centsNo
is_availableNo
menu_item_idYes
restaurant_idYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
idNo
nameNo
isActiveNo
priceCentsNo
isAvailableNo

Schema Changelog

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

  1. First observed

TDQS

B3.3/5.0
Behavior3/5

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

It discloses that this is a WRITE operation and lists required roles, which adds auth context beyond the annotations. However, it does not describe partial-update semantics, validation, or effects on menu availability, so the behavioral picture remains thin. No contradiction with the annotations because readOnlyHint=false aligns with WRITE.

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 a single compact sentence with the key constraints front-loaded ('ADMIN', then the action, then roles and WRITE). Every clause earns its place and there is no flff.

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?

Despite having an output schema and read/write annotations, the tool has 10 undocumented parameters and no use-vs-alternative guidance. The description provides the auth/write context but leaves too much for the agent to infer about which fields mean what and how an update behaves.

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 carries the burden of explaining parameters, but it mentions none of the 10 fields. An agent cannot tell is_active from is_available or cost_cents from price_cents, and the required identifiers restaurant_id and menu_item_id are not contextualized.

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 uses a specific verb and resource ('Updates a menu item'), which clearly differentiates it from sibling tools such as create_menu_item, delete_menu_item, and set_menu_item_price. The ADMIN prefix further scopes the intended audience. This is enough for an agent to determine what the tool does.

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

Usage Guidelines3/5

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

The description provides clear context — it is an ADMIN write operation and requires pac_cordinator or lunch_cordinator — but it does not explicitly state when to prefer this over alternatives like set_menu_item_price or create_menu_item. Usage is implied rather than spelled out.

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.