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chick_fil_a_menu_item

Retrieve a Chick-fil-A menu item by ID or slug, resolving its taxonomy term IDs to names for menu sections, item types, item groups, and nutrition tables.

Instructions

Get one Chick-fil-A menu item. Returns one Chick-fil-A menu item, selected by either its numeric id or its slug (supply exactly one of the two -- passing both is rejected). Unlike the listing endpoint, this resolves the item's taxonomy term ids to names, so menu_sections, item_types, item_groups and nutrition_tables each come back as {id, name, slug} triples rather than bare ids. Term resolution is best-effort: if the taxonomy lookups fail the item is still returned with ids and empty names rather than failing the whole call. This item detail carries no price and no nutrition values -- Chick-fil-A does not publish either through this source.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idNoNumeric WordPress post id. Supply either id or slug, not both.
slugNoItem slug, e.g. from a listing response. Supply either id or slug, not both.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv1.16.2

TDQS

A4.6/5.0
Behavior5/5

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

With no annotations, the description fully discloses behavior: resolution of taxonomy terms to {id, name, slug} triples, best-effort resolution with fallback to empty names on lookup failure, and absence of price/nutrition data. It also documents the rejection of both id and slug, which is important for invocation. This is exemplary for a simple get tool.

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 every sentence contributes: purpose, selector constraints, differentiation from listing, term resolution behavior, best-effort fallback, and missing fields. It is well-structured and front-loaded with the key action.

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

Completeness4/5

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

Given there is no output schema, the description provides enough context about the response shape (resolved triples) and limitations (no price/nutrition). It also mentions the rejection condition. It could be more exhaustive about the full item structure, but for a single-item get with 2 params, it is sufficiently complete.

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

Parameters4/5

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

Schema coverage is 100% and the description adds value beyond the schema: it explains the exclusivity rule, the source of the slug (from a listing response), and the rejection of both. This is more than baseline for high coverage, deserving a 4.

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 ('Get') and resource ('one Chick-fil-A menu item'), and clarifies it returns a single item selected by id or slug. It explicitly distinguishes from the listing endpoint, which helps an agent pick between them.

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?

It clearly explains that exactly one selector must be supplied (id or slug) and that passing both is rejected. It also contrasts with the listing endpoint by highlighting term resolution. However, it does not explicitly state 'use this when you need a single item' or mention alternative tools, though siblings like chick_fil_a_menu make that implied.

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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