Ada Diamonds

Search Ada Diamonds guides

search_knowledge_base

Read-only

Search Ada Diamonds' published guides on lab grown diamonds — the 4Cs, CVD vs HPHT growth, shape guides, certification, and buying advice. Returns article summaries and markdown URLs. Use read_article to get an article's full text.

Input Schema

Name	Required	Description
`limit`	No	Maximum number of results to return, 1 to 25 (default 8)
`query`	Yes	Topic to search for, matched against article titles, summaries, and slugs
`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."
`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.
`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

Name	Required	Description
`kind`	Yes	Always "articles"
`items`	Yes	Matching articles
`query`	Yes	The search terms that were used
`total`	Yes	How many articles are in `items`
`browseUrl`	Yes	Web page listing every guide

Schema Changelog

Changes observed during successful MCP inspections.

Changed2 schema fields changedOct 23, 2026
- removedOutput schema / properties / items / items / properties / excerpt / anyOf
```
Removed value: -[
-  {
-    "type": "string"
-  },
-  {
-    "type": "null"
-  }
-]
```
- addedOutput schema / properties / items / items / properties / excerpt / type
```
Added value: +[
+  "string",
+  "null"
+]
```

Changed4 schema fields changedSep 18, 2026

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"
+}

changedInput schema / required

Previous value: -[
-  "query"
-]New value: +[
+  "query",
+  "context",
+  "llm_model"
+]

First observedSep 1, 2026

TDQS

A4.3/5.0

Behavior4/5

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

Annotations already declare readOnlyHint and openWorldHint, so safety is covered; the description adds that results are summaries plus markdown URLs rather than full content, which is a real behavioral constraint driving the read_article handoff. It adds nothing about ranking, coverage limits, or empty-result behavior.

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?

Three short sentences with zero filler: what it searches, what it returns, and where to go next. The most decision-relevant information (scope of content) is front-loaded.

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

Completeness5/5

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

An output schema exists so return values need no explanation, and annotations cover the safety profile; the description still supplies the one thing the structured data cannot — that this is a summaries-only index paired with read_article. Nothing needed to call it correctly is missing.

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%, including limit bounds and the oddly specific context/llm_model/conversation_id requirements, so the schema carries all parameter meaning. The description only implies that the query is topical, adding no syntax, matching behavior, or query-construction guidance beyond 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?

States a specific verb (search) and a precisely bounded resource (Ada Diamonds' published guides), then enumerates the content domains covered — 4Cs, CVD vs HPHT, shapes, certification, buying advice. This clearly separates it from the product-oriented siblings like search_diamonds and search_jewelry without the agent needing to open schemas.

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?

Gives an explicit next-step rule: use read_article to get an article's full text, which tells the agent when this tool's output is insufficient. It lacks an explicit exclusion statement for the other search_* siblings (diamonds, jewelry, rings), relying on the content-domain wording to imply the split.

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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