Ada Diamonds

Search fine jewelry

search_jewelry

Read-only

Search Ada Diamonds' fine jewelry — wedding bands, earrings, necklaces, bracelets, and fashion rings — by category, type, diamond shape, and price. MCP Apps-enabled: hosts that support MCP Apps render the results as an interactive card grid.

Input Schema

TableJSON Schema

Name	Required	Description
`q`	No	Free-text match on the product name
`type`	No	Type, e.g. Wedding Bands, Earrings, Necklaces, Bracelets, Rings
`limit`	No	Maximum number of results to return, 1 to 50 (default 10)
`shape`	No	Diamond shape used in the piece, e.g. Round
`context`	Yes	Explain in 15-25 words, in third person, why this tool is called and how it supports the user's goal. For analytics only. You MUST describe only the abstract purpose of the tool call. NEVER include, repeat, paraphrase, or infer personal, sensitive, or identifying information from the user request or tool results, including names, emails, phone numbers, IPs, IDs, or credentials. You MUST generalize specific entities into roles such as "a user", "the customer", or "an account". Example: "Retrieving a customer's recent orders to investigate a billing issue and help support determine the appropriate resolution."
`category`	No	Category: Bridal or Fashion
`llm_model`	Yes	The exact model identifier you (the assistant) are running as, taken from your system prompt or environment (e.g. "claude-opus-4-8", "gpt-5.2"). Used for analytics only. If you do not know your model identifier with certainty, pass "unknown" — never guess.
`max_price`	No	Maximum price in US dollars
`min_price`	No	Minimum price in US dollars
`conversation_id`	No	Echo the conversation_id from the server's previous response. The server provides it on the first call — never invent one, and do not issue parallel tool calls until you have it.

Output Schema

TableJSON Schema

Name	Required	Description
`kind`	Yes	Which catalog the results come from
`items`	Yes	The matching entries, best match first
`query`	Yes	The filters that were applied (only the ones you sent)
`shown`	Yes	How many entries are in `items`
`total`	Yes	How many catalog entries matched before the limit
`browseUrl`	Yes	Web page listing the full catalog for this search

Schema Changelog

Changes observed during successful MCP inspections.

Changed5 schema fields changedSep 18, 2026

removedInput schema / additionalProperties
```
Removed value: -false
```

addedInput schema / properties / context

Added value: +{
+  "description": "Explain in 15-25 words, in third person, why this tool is called and how it supports the user's goal. For analytics only. You MUST describe only the abstract purpose of the tool call. NEVER include, repeat, paraphrase, or infer personal, sensitive, or identifying information from the user request or tool results, including names, emails, phone numbers, IPs, IDs, or credentials. You MUST generalize specific entities into roles such as \"a user\", \"the customer\", or \"an account\". Example: \"Retrieving a customer's recent orders to investigate a billing issue and help support determine the appropriate resolution.\"",
+  "type": "string"
+}

addedInput schema / properties / conversation_id

Added value: +{
+  "description": "Echo the conversation_id from the server's previous response. The server provides it on the first call — never invent one, and do not issue parallel tool calls until you have it.",
+  "type": "string"
+}

addedInput schema / properties / llm_model

Added value: +{
+  "description": "The exact model identifier you (the assistant) are running as, taken from your system prompt or environment (e.g. \"claude-opus-4-8\", \"gpt-5.2\"). Used for analytics only. If you do not know your model identifier with certainty, pass \"unknown\" — never guess.",
+  "type": "string"
+}

addedInput schema / required

Added value: +[
+  "context",
+  "llm_model"
+]

Changed1 schema field changedSep 2, 2026
- addedInput schema / additionalProperties
```
Added value: +false
```
First observedSep 1, 2026

TDQS

A4/5.0

Behavior4/5

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

Annotations already declare readOnlyHint=true and openWorldHint=true, covering safety and dynamic results. The description adds the MCP Apps rendering behavior (interactive card grid), which is a meaningful behavioral trait beyond the annotations. It does not contradict the annotations and provides useful context about how results are presented on supporting hosts.

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?

Two tight sentences: the first front-loads the core purpose and filter scope, the second adds a value-added rendering note. No wasted words or redundancy. The description earns its space efficiently.

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 tool has an output schema, so return format is already defined. The description covers the search scope, filterable attributes, and rendering behavior, and the annotations handle safety and open-world semantics. It does not explicitly explain pagination via conversation_id, but that is documented in the schema; overall it is complete enough for an agent to call correctly.

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?

Schema description coverage is 100%, so every parameter is already documented. The description adds a summary of the main filter dimensions (category, type, diamond shape, price) that map to existing schema fields, but it does not add syntax, formatting, or behavioral nuance beyond what the schema provides. This meets the baseline but adds little extra meaning.

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 uses a specific verb 'Search' with a clear resource ('Ada Diamonds' fine jewelry') and enumerates the item types (wedding bands, earrings, necklaces, bracelets, fashion rings) plus the filtering dimensions (category, type, diamond shape, price). This makes its scope distinct from siblings like search_diamonds (loose diamonds) and search_engagement_rings (a subset), even though it doesn't name them explicitly.

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

Usage Guidelines3/5

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

The description implies the tool is for finished fine jewelry pieces rather than loose diamonds or specific subsets, but it does not explicitly state when to use it versus siblings such as search_diamonds or search_engagement_rings. There are no exclusions or alternative-routing cues beyond the item list, so an agent must infer usage from the resource naming.

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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