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TypeScript

Hybrid

Get an Agentic Reference Architecture

get_architecture

Read-onlyIdempotent

Retrieve a full reference architecture by slug, including request flow, scenario, KPIs, cost and scaling, and composed patterns. Use it after search or list results provide the slug.

Instructions

Get one reference architecture by slug (includes the request flow, reference scenario, KPIs, cost & scaling, and the patterns/knowledge it composes). Use this once search or list_architectures has given you a slug.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "slug": "<slug>"
    },
    "name": "get_architecture"
  }
}

Input Schema

Name	Required	Description	Default
`slug`	Yes	Architecture slug, e.g. 'customer-service-agent'.
`locale`	No	Language of the returned body. Default: en.

Output Schema

Name	Required	Description
`id`	No
`body`	No
`name`	No
`slug`	Yes
`tags`	No
`domain`	Yes
`locale`	No
`status`	No
`aliases`	No
`api_url`	Yes
`locales`	No
`related`	Yes
`summary`	No
`updated`	Yes
`version`	Yes
`category`	Yes
`evidence`	Yes	Evidence-First provenance: weight claims by this.
`fallback`	No
`featured`	No
`patterns`	No
`knowledge`	No
`frameworks`	No
`references`	Yes
`how_to_cite`	No	The citation, already formed — use it verbatim.
`resource_uri`	No
`technologies`	No
`canonical_url`	Yes
`resolved_locale`	No
`requested_locale`	No

Schema Changelog

Changes observed during successful MCP inspections.

Changed2 schema fields changedv0.6.0Nov 6, 2026

changedInput schema / properties / locale / enum

Previous value: -[
-  "en",
-  "es",
-  "pt"
-]New value: +[
+  "en",
+  "es",
+  "pt",
+  "fr",
+  "de",
+  "ja",
+  "zh"
+]

addedOutput schema / properties / how_to_cite

Added value: +{
+  "description": "The citation, already formed — use it verbatim.",
+  "type": "string"
+}

Changed6 schema fields changedv0.4.1Sep 2, 2026

addedInput schema / properties / slug / maxLength
```
Added value: +128
```
addedInput schema / properties / slug / minLength
```
Added value: +1
```
changedOutput schema / additionalProperties
```
Previous value: -{}New value: +false
```

addedOutput schema / properties / aliases

Added value: +{
+  "items": {
+    "type": "string"
+  },
+  "type": "array"
+}

addedOutput schema / properties / resource_uri
```
Added value: +{
+  "type": "string"
+}
```

addedOutput schema / required

Added value: +[
+  "domain",
+  "slug",
+  "category",
+  "updated",
+  "version",
+  "evidence",
+  "canonical_url",
+  "api_url",
+  "references",
+  "related"
+]

First observedv0.2.1Aug 2, 2026

TDQS

A4.5/5.0

Behavior4/5

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

Annotations already declare readOnly, idempotent, non-destructive and closed-world, so the safety profile is covered. The description adds genuinely useful behavioral context by disclosing what the returned body contains, including that it composes patterns/knowledge — implying relational expansion beyond a flat record.

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 sentences, zero filler, with the core action and the usage trigger front-loaded in that order. Every clause earns its place by either defining scope or routing the agent.

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 the description still summarizes the payload shape. With only two parameters (one required), the description plus schema gives an agent everything needed to call it 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 coverage is 100%: slug has an example value and locale documents its enum options and default. The description only adds the provenance of the slug (from search/list_architectures), which is marginal beyond the schema, so the baseline 3 applies.

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 and resource ('Get one reference architecture by slug') and enumerates the payload contents (request flow, reference scenario, KPIs, cost & scaling, composed patterns/knowledge). 'One ... by slug' cleanly distinguishes it from the plural sibling list_architectures.

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

Usage Guidelines5/5

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

Explicitly states the prerequisite workflow: 'Use this once `search` or `list_architectures` has given you a slug.' It names both alternative routes for obtaining the identifier, leaving no inference needed about when to reach for this tool.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.