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dealpulse

Discover optimal deals and maximize savings through price history, coupon codes, cashback optimization, subscription audits, and credit card stack analysis for any product or retailer.

Instructions

DealPulse: Global deal intelligence API. AI-synthesized best deals, price history, coupon discovery, cashback optimization, subscription audits, credit card stack analysis, grocery savings, student discounts, an

Coverage: Global

Endpoints: • store ($0.05): Store coupon codes and promotions • item ($0.08): Best deal on a specific product • compare ($0.08): Live price comparison across retailers • event ($0.10): Sale event intelligence • subscriptions ($0.08): Subscription audit — cancel vs. keep analysis with cost savings • cards ($0.08): Credit card cashback optimization for a purchase or category • stack ($0.10): Deal stacking — combine sale + coupon + cashback for maximum savings • student ($0.05): Student discounts on software, services, food, and travel • history ($0.08): Price history and best-time-to-buy analysis for a product

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
itemNoSpecific product name (e.g. Samsung 65 inch QN90B, Dyson V15)
langNolang
eventNoSale event name (e.g. black-friday, prime-day, cyber-monday)
queryNoProduct name or description (e.g. 65 inch TV, AirPods Pro)
storeNoStore or restaurant name (e.g. Target, Chilis, Nike)
actionYesWhich endpoint to call. Options: store | item | compare | event | subscriptions | cards | stack | student | history
budgetNoMaximum budget in USD
countryNocountry
categoryNoProduct category filter (e.g. electronics, appliances, clothing)
retailerNoretailer
servicesNoservices
Behavior3/5

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

The description discloses per-endpoint costs (e.g., $0.05 per store call), which is a useful behavioral trait, but it does not mention authentication, rate limits, or whether operations are read-only. Given no annotations, the description carries the burden but only partially fulfills it.

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 description contains a cut-off sentence and redundant phrasing ('DealPulse:'), but the bullet list of endpoints is well-structured. It is not maximally concise, but organized enough for scanning.

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

Completeness2/5

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

Given the complexity of 11 parameters and multiple endpoints, the description lacks guidance on which parameters to use with each action, and does not explain return values (no output schema). This leaves significant gaps for effective tool invocation.

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?

The input schema has 100% description coverage, so the description adds little beyond listing endpoints and their costs. The baseline of 3 is appropriate as the schema already documents all parameters.

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 clearly states it is a 'Global deal intelligence API' and lists endpoints for best deals, price history, coupons, cashback, etc., establishing a distinct domain. However, the description is cut off and somewhat messy, slightly reducing clarity.

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 guidance is provided on when to use this tool versus its siblings (other pulse tools). The description lacks context on selecting this tool over alternatives, leaving the agent without decision support.

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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