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get_outpost_door_state

Get one brand's door-state document from its Outpost: for each of the five intents (menu/browse, prices, inventory, ordering, tracking), the assessed state (open, partner-gated, aggregator-only, or human-only), the sanctioned route if any, its evidence source, and the date it was verified. Brands: amazon, costco, dominos, starbucks, mcdonalds, walmart, target, united, airbnb, chipotle, littlecaesars, papajohns, pizzahut, dunkin, dutchbros, burgerking, chickfila, subway, tacobell, wendys, albertsons, instacart, homedepot, ikea, lowes, nike, ebay, cvs, walgreens, americanairlines, deltaairlines, southwestairlines, bookingcom, hilton, marriott, doordash, grubhub, lyft, uber, peetscoffee, kroger, bestbuy. Free, no API key.

Input Schema

NameRequiredDescriptionDefault
brandYesBrand slug: "amazon", "costco", "dominos", "starbucks", "mcdonalds", "walmart", "target", "united", "airbnb", "chipotle", "littlecaesars", "papajohns", "pizzahut", "dunkin", "dutchbros", "burgerking", "chickfila", "subway", "tacobell", "wendys", "albertsons", "instacart", "homedepot", "ikea", "lowes", "nike", "ebay", "cvs", "walgreens", "americanairlines", "deltaairlines", "southwestairlines", "bookingcom", "hilton", "marriott", "doordash", "grubhub", "lyft", "uber", "peetscoffee", "kroger", or "bestbuy"

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / properties / brand / description
      Previous value: -"Brand slug: \"amazon\", \"costco\", \"dominos\", \"starbucks\", \"mcdonalds\", \"walmart\", \"target\", \"united\", \"airbnb\", or \"chipotle\""New value: +"Brand slug: \"amazon\", \"costco\", \"dominos\", \"starbucks\", \"mcdonalds\", \"walmart\", \"target\", \"united\", \"airbnb\", \"chipotle\", \"littlecaesars\", \"papajohns\", \"pizzahut\", \"dunkin\", \"dutchbros\", \"burgerking\", \"chickfila\", \"subway\", \"tacobell\", \"wendys\", \"albertsons\", \"instacart\", \"homedepot\", \"ikea\", \"lowes\", \"nike\", \"ebay\", \"cvs\", \"walgreens\", \"americanairlines\", \"deltaairlines\", \"southwestairlines\", \"bookingcom\", \"hilton\", \"marriott\", \"doordash\", \"grubhub\", \"lyft\", \"uber\", \"peetscoffee\", \"kroger\", or \"bestbuy\""
  2. First observed

TDQS

A3.6/5.0
Behavior4/5

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

With no annotations, the description carries the full burden and does well: it discloses that this is a read of a pre-verified document, that each intent carries a verification date, and that no auth or cost is involved. It omits error behavior for unknown brands and any caching/freshness guarantees beyond the embedded date.

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

Conciseness3/5

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

The core payload description is front-loaded and earns its place, but the 42-slug brand list is duplicated verbatim from the schema, roughly doubling length with zero added information. Trimming that block would make this a tight, high-signal definition.

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?

For a one-parameter read tool with no output schema, the description is nearly self-sufficient: it defines the returned fields and their possible values so the agent knows what it will get. Only the absence of sibling routing and error semantics keeps it from full marks.

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 coverage is 100% and the single 'brand' parameter already documents every valid slug, so the description adds no new parameter meaning — it restates the same enumeration. Baseline 3 applies.

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?

Precise verb+resource: 'Get one brand's door-state document from its Outpost', and it enumerates exactly what the document contains (five intents, four state values, sanctioned route, evidence source, verification date). It never names the sibling list_outposts, so an agent must infer the single-brand vs. list distinction on its own.

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?

Usage is only implied by the enumerated brand slugs and the 'Free, no API key' note — there is no explicit statement of when to call this versus list_outposts or register_intent, and no guidance on what happens for an unlisted brand. Adequate but leaves routing to inference.

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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