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autopulse

Access automotive intelligence including safety recalls, reliability analysis, DIY repair guides, vehicle comparison, market value estimates, EV break-even analysis, and total cost of ownership.

Instructions

AutoPulse: Automotive intelligence API — 10 endpoints powered by NHTSA, EPA, and live market data. Safety recalls, reliability analysis, DIY repair guides, vehicle comparison, market value, EV break-even, dealer

Coverage: Global

Endpoints: • recall ($0.10): NHTSA safety recall lookup • problems ($0.10): Known problems and reliability analysis • repair ($0.10): DIY repair guide • compare ($0.10): Vehicle comparison • value ($0.10): Market value estimate • ev-breakeven ($0.10): EV break-even analysis vs. gas vehicle • negotiate ($0.10): Car buying negotiation guide • inspect ($0.10): Pre-purchase inspection checklist • parts ($0.10): Parts pricing and sourcing • tco ($0.10): Total cost of ownership (5-year)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
actionYesWhich endpoint to call. Options: recall | problems | repair | compare | value | ev-breakeven | negotiate | inspect | parts | tco
langNolang
vinNo17-character VIN
yearNoyear
makeNomake
modelNomodel
vehicleNoVehicle descriptor (e.g. 2020-toyota-camry)
jobNoRepair job (e.g. brake-pads, oil-change, cabin-air-filter)
vehiclesNoComma-separated vehicles (e.g. Toyota RAV4,Honda CR-V,Mazda CX-5)
mileageNomileage
conditionNocondition
ev_modelNoEV model name (e.g. Tesla Model 3, Chevrolet Bolt, Ford F-150 Lightning)
gas_vehicleNoGas vehicle for comparison (e.g. Toyota Camry, Honda CR-V)
stateNoUS state for state-level incentives and electricity rates
annual_milesNoAnnual mileage (default: 12,000)
electricity_rateNoLocal electricity rate in $/kWh
gas_priceNoLocal gas price in $/gallon
trimNotrim
partNoPart name (e.g. brake-pads, alternator, water-pump)
purchase_priceNoPurchase price in USD
Behavior2/5

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

No annotations provided, so the description carries the full burden. It mentions costs per endpoint and coverage (global) but does not disclose idempotency, side effects, rate limits, or what the tool returns. The description is more a list of endpoints than behavioral traits.

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

Conciseness1/5

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

The description is verbose and unstructured, including a lengthy list of endpoints with costs and a coverage line. It is not front-loaded with a clear purpose and contains extraneous details that should be separated into individual tool definitions.

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

Completeness1/5

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

Given 20 parameters, 10 endpoints, and no output schema, the description fails to explain which parameters are relevant for each action or how to construct a valid request. It lacks information on output format, making it incomplete for an AI agent to correctly invoke the tool.

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

Parameters2/5

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

Schema description coverage is 100%, but many parameter descriptions are tautological (e.g., 'lang', 'year', 'make'). The description adds little beyond the schema; it restates the action enum but does not clarify parameter relationships or usage context. Baseline 3 is not warranted due to poor description quality.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states 'Automotive intelligence API' and lists 10 endpoints, indicating the tool provides automotive data. However, it lacks a concise verb-resource statement and the purpose is blended across endpoints, making it less clear what single action the tool performs.

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

Usage Guidelines2/5

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

No explicit guidance on when to use this tool versus its numerous sibling tools (e.g., alphapulse, biopulse). The description only implies automotive domain but does not help the agent decide when to invoke autopulse over others or specify exclusion conditions.

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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