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Analog-Labs

Firestarter MCP Server

by Analog-Labs

firestarter_preview

Read-only

Check real product options for a natural-language request before any purchase. See live prices, shipping, and whether options fit budget, deadline, and destination, with no approval created.

Instructions

Preview real products for a natural-language request WITHOUT starting a purchase. Returns live options with prices, whether each can be bought through Firestarter (vs browse-only), shipping, and per-option eligibility — in budget, can arrive by the deadline, and ships to the destination. Answers "what can you get me?" — a view of what's available before any purchase starts (firestarter_execute). Read-only: nothing is bought and no approval is created.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
cityNoDestination city
limitNoMax options per page (1-50, default 10).
queryYesWhat to look for, e.g. 'polo t-shirt' or 'wireless earbuds under $50'
cursorNoOpaque pagination cursor from a prior preview's page.next_cursor to fetch the next page.
contextNoStructured buyer context: destination, locale, currency, and intent.
countryNoDestination country (ISO alpha-2 or common name) — enables shipping/serviceability checks
deadlineNoDelivery deadline, e.g. 'Friday', 'in 3 days', '2026-07-03'
quantityNoHow many units (1-100)
max_priceNoBudget ceiling in USD
min_priceNoPrice floor in USD

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
pageYes
countYes
queryYes
reasonYes
blockedYes
contextYes
optionsYes
destinationYes
buyable_countYes
schema_versionYes
Behavior4/5

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

Read-only behavior is already captured by annotations, but the description adds valuable specifics: 'nothing is bought and no approval is created', options are 'live', and results distinguish buyable vs browse-only products. This goes beyond the annotation's simple readOnlyHint and gives the agent a clearer behavioral model. No contradiction.

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 three sentences and every sentence earns its place: purpose and non-destructive guarantee, return-value highlights, and the usage framing with firestarter_execute. It is front-loaded with the most important fact (no purchase starts) and contains no filler.

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 tool with 10 parameters, a nested context object, and an output schema, the description covers purpose, safety, eligibility semantics, and the relationship to firestarter_execute. Pagination and currency-display behavior are already documented in the parameter schema, so the description does not need to repeat them. Minor missing piece: it could more explicitly mention paging through large result sets, but the schema handles that.

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 description coverage is 100%, so the baseline is 3, but the description adds meaning by linking the eligibility outputs to the relevant parameters: 'in budget, can arrive by the deadline, and ships to the destination' maps to max_price, deadline, and city/country. This helps the agent understand how those parameters influence the returned options beyond their individual field descriptions.

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, resource, and scoping constraint: 'Preview real products for a natural-language request WITHOUT starting a purchase.' It explicitly names the purchase counterpart, firestarter_execute, and clarifies that this tool is the read-only pre-purchase view, so an agent can distinguish it from siblings without opening the schema.

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?

The description gives clear usage context: use this to answer 'what can you get me?' and as the step 'before any purchase starts (firestarter_execute)'. It names the closest alternative, firestarter_execute, and implies this tool should be called before committing. It does not explicitly address broader catalog-search alternatives, but the guidance is strong.

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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