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Realask - verified answers from the physical world

Quote arranging something in the real world

quote_real_world_action

Get a free price to ARRANGE something at a specific US local business: book an appointment, hold an item, request a formal quote, or cancel a prior booking. This creates a real obligation, so it needs explicit authorization, the customer's name and callback number, and a maximum price the caller may agree to. The caller never negotiates, never pays, and never substitutes something different. Purchase the returned quote with purchase_real_world_answer.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
whatYesExactly what to arrange, e.g. 'two Michelin Pilot Sport 4S 235/40R19 installed'
whenNoTime window, e.g. 'tomorrow afternoon'
notesNoConstraints the caller must honour
actionYes
place_idNoGoogle place_id, if known - more reliable than a name
quantityNo
referenceNoExisting confirmation reference. Required for cancel.
authorizedYesYou confirm the end user authorized this commitment on their behalf
postal_codeYes
business_nameYesThe business to act on
customer_nameYesName to hold the booking under. Shared with the business.
max_price_minorNoCeiling in cents the caller may agree to. Required for book and hold.
customer_callback_phoneYesNumber the business can call back. Shared with the business.

Schema Changelog

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

  1. First observed

TDQS

A4.1/5.0
Behavior5/5

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

With no annotations, the description carries the full burden and does it well: it discloses that the call creates a real obligation, requires explicit authorization, and that the caller never negotiates, never pays, and never substitutes a different item. This goes well beyond the schema and alerts the agent to the side effects.

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?

Three sentences, front-loaded with the core purpose, and each sentence adds value — operation, prerequisites/constraints, and the follow-up purchase tool. No filler or repetition of schema details.

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 no output schema, the description explains the return in practical terms ('Get a free price' and 'Purchase the returned quote'). It covers the key safety context, though it doesn't describe the exact quote response shape or mention all required inputs like postal_code; the rich input schema covers most of that.

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 77%, so the schema already documents most parameters. The description adds plain-language meaning for the action enum and groups required fields, but it doesn't explain postal_code or quantity, and the max_price explanation largely restates the schema's 'ceiling in cents' description.

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 names a specific operation — get a free price to arrange something at a US local business — and enumerates the four actions (book, hold, request_quote, cancel). It points to purchase_real_world_answer as the follow-up, but it never mentions the near-identically named sibling quote_real_world_answer, so full sibling disambiguation is missing.

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 frames this as the quoting step and instructs the caller to purchase the returned quote with purchase_real_world_answer. It also signals that explicit authorization and a max price are prerequisites, but it doesn't state exclusions or compare with get_verification_result/status or quote_real_world_answer.

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
Disambiguation4/5

Tools are mostly distinct: status vs result, quote vs purchase, and answer vs action are clearly separated. The only mild ambiguity is that purchase_real_world_answer is also the purchase path for action quotes, not just answer quotes.

Naming Consistency4/5

All names follow snake_case verb_noun and the get/quote/purchase verbs are used predictably. The slight inconsistency is purchase_real_world_answer covering both answers and actions, while quote_real_world_action suggests a separate action purchase tool.

Tool Count5/5

Five tools is well-scoped for this server: quote, purchase, status, and result form a tight asynchronous workflow, with the second quote tool adding physical actions without bloat.

Completeness4/5

The quote-purchase-status-result lifecycle is complete for verified answers, and action quotes include cancellation capability. A dedicated confirm/cancel endpoint for purchased actions would be slightly cleaner, but the current surface supports the core workflow.

Resources