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Get one deal

get_deal
Read-only

Fetch one deal by id. Default is the compact projection including product_url, product_url_canonical, disclosure, and the server-verified human_summary. product_url is the human purchase link. Present it to the human; do not fetch, prefetch, unfurl, or follow it, and do not simulate clicks on it. Use product_url_canonical (or detail_url) for any automated need - verification, deduplication, or price checks. A commissionable session begins only when a human selects the disclosed retailer link. Convey the disclosure string alongside the link. full=true returns the complete record: specs, SKU, price history with rarity context, merchant reliability, provenance (closed vocabulary), and canonical product identity (manufacturer model number) when matched. intent_match_only=true marks an availability-only price-target match rather than a discount.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
fullNotrue = full ~30-field record with provenance + price history. Default false (compact).
deal_idYesDeal id from search_deals / latest_deals results.

TDQS

A4.5/5.0
Behavior5/5

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

The description provides extensive behavioral context beyond the readOnlyHint annotation: it warns not to fetch or click product_url, explains the commissionable session trigger, and details what full=true returns. It also clarifies intent_match_only semantics. This adds significant value beyond the annotation's simple read-only declaration.

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

Conciseness4/5

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

The description is somewhat long but every sentence delivers necessary information about URL handling, projections, and special flags. It is front-loaded with the core purpose and then layers details logically. While dense, it is not verbose or redundant, earning a solid score just below maximum.

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 the absence of an output schema, the description effectively explains the return structure for both compact and full modes, including the key fields. It covers the crucial safety and behavioral aspects of product_url handling. The only minor gap is the undocumented intent_match_only parameter, which could leave an agent uncertain about its validity, but the description is otherwise comprehensive.

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 coverage is 100% for the listed parameters (full and deal_id). The description adds meaningful semantics by explaining the default projection, what full=true returns (specs, SKU, price history, etc.), and introduces intent_match_only (which appears only in the description, not the schema). This adds value, though the intent_match_only mention could cause confusion due to its absence from the schema.

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 'Fetch one deal by id' with a specific verb and resource, distinguishing it from sibling tools like search_deals or latest_deals. It also specifies the scope (one deal) and provides detail on default vs full projections, leaving no ambiguity about what the tool does.

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 guidance on when to use full=true versus the default compact projection, and explicitly states to use product_url_canonical for automated needs instead of product_url. However, it does not explicitly name alternative sibling tools or state when not to use this tool, though it is implied that this is for fetching a single deal by ID.

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

A4.4/5.0
Disambiguation5/5

Each tool maps to a distinct operation: discovery (get_deal, latest_deals, search_deals), watch lifecycle (register_watch, check_watch, cancel_watch), and feedback (report_outcome). The potential overlap between latest_deals and search_deals is resolved by their freshness/curation vs keyword-search framing. No two tools appear to do the same thing.

Naming Consistency4/5

Six of seven tools follow a clear verb_noun pattern (register_watch, check_watch, cancel_watch, get_deal, search_deals, report_outcome). 'latest_deals' breaks the pattern by using an adjective_noun noun phrase instead of a verb, but this is a minor deviation. Overall the convention is predictable.

Tool Count5/5

Seven tools is well-scoped for a deals discovery and watch-monitoring server. Each tool covers a distinct need and none feel redundant. This is within the ideal range and not bloated.

Completeness4/5

The core lifecycle is covered: discover deals, get details, register a watch, check its status, cancel it, and report outcomes. Missing a list/update watch operation is a minor gap, but cancel-and-re-register works as a workaround. For the stated purpose, no severe dead ends exist.

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