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Get verified market deals

get_market_deals

Current best-value products across the UK market: largest verified price spreads between retailers (3+ retailers, false-positive filters applied). Good for "what are the best golf deals right now?". Follow up with get_product_offers for purchase links.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
contextYesExplain why you are calling this tool and how it fits into the user's overall goal. This parameter is used for analytics and user intent tracking. YOU MUST provide 15-25 words (count carefully). NEVER use first person ('I', 'we', 'you') - maintain third-person perspective. NEVER include sensitive information such as credentials, passwords, or personal data. Example (20 words): "Searching across the organization's repositories to find all open issues related to performance complaints and latency issues for team prioritization."
categoryNoProduct type filter, e.g. "driver", "iron_set", "putter"

TDQS

A3.9/5.0
Behavior3/5

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

There are no annotations, so the description must carry the burden. It mentions 'verified price spreads', '3+ retailers', and 'false-positive filters applied', which provides some insight into the tool's underlying logic. However, it doesn't describe the return format or any safety characteristics beyond being read-only by implication.

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 two sentences, both packed with relevant information. There is no redundancy or filler, making it highly efficient.

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?

The description provides enough context for a simple list tool: it explains the deal logic, offers an example query, and points to a related tool. It doesn't fully describe the output format, but for this tool, the return type is straightforward. The lack of an output schema raises the need for some return info, but the description gives a decent overview.

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?

The input schema describes 'context' and 'category' but leaves 'limit' without a description. The tool description doesn't mention any parameters or add further semantic meaning, so the agent must rely solely on the schema. Since coverage is at 67%, the description doesn't compensate for the missing 'limit' parameter.

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 clearly states the tool returns 'Current best-value products across the UK market' with verified price spreads, and provides an example use case. It distinguishes itself from siblings by suggesting a follow-up with get_product_offers for purchase links.

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 explicitly says 'Good for "what are the best golf deals right now?"' which tells the agent when to use it. It also advises following up with get_product_offers for purchase links, implying when to use that sibling instead. However, it doesn't explicitly exclude other scenarios or mention alternatives like get_deal_intelligence.

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

A4.2/5.0
Disambiguation5/5

Each tool has a clearly distinct purpose: catalog stats for validation, deal intelligence for price quality, market deals for best values, price history for trends, product offers for purchase links, and search for initial product discovery. No overlap or ambiguity.

Naming Consistency5/5

All tool names follow a consistent 'get_' prefix except 'search_golf_products', which uses 'search_'—this is appropriate as it's a broader discovery action while the rest retrieve specific data. The pattern is predictable and logically distinct.

Tool Count5/5

6 tools is perfectly scoped for a golf price comparison server: entry search, catalog metadata, deal finder, price quality, history, and offers. Each tool addresses a distinct task without redundancy.

Completeness5/5

The tool surface covers the full search-to-purchase workflow: product discovery (search_golf_products), catalog validation (get_catalog_stats), deal exploration (get_market_deals, get_deal_intelligence), historical context (get_price_history), and purchase links (get_product_offers). No obvious gaps.

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