LeanrIQ

get advertiser

get_advertiser

Read-onlyIdempotent

get advertiser. Classification: read-only. Execution: synchronous. Task support: forbidden. The returned JSON is internal application state for LeanrIQ and ChatGPT orchestration. Use assistantSummary first when responding to the user. Never display raw JSON, data, or meta unless the user explicitly asks for raw JSON. Mention IDs only when useful for follow-up or debugging. Prefer concise, human language, highlight the most useful insight, and suggest the next best LeanrIQ action.

Input Schema

Name	Required	Description	Default
`seatId`	No
`taskId`	No
`assetId`	No
`flightId`	No
`seatName`	No
`accountId`	No
`previewId`	No
`campaignId`	No
`creativeId`	No
`templateId`	No
`advertiserId`	Yes
`sourceLocale`	No
`targetMarket`	No
`contentLocale`	No
`marketContext`	No
`targetMarkets`	No
`contentLocales`	No
`defaultContentLocale`	No
`marketLanguageProfile`	No
`resolvedContentLocale`	No
`languageVariantGroupId`	No
`requestedOutputLocales`	No
`supportedContentLocales`	No

Output Schema

Name	Required	Description	Default
`data`	Yes
`meta`	Yes
`error`	No
`status`	Yes
`assistantSummary`	Yes

Schema Changelog

Changes observed during successful MCP inspections.

Changed12 schema fields changedOct 13, 2026

addedInput schema / properties / contentLocale
```
Added value: +{
+  "type": "string"
+}
```

addedInput schema / properties / contentLocales

Added value: +{
+  "items": {
+    "type": "string"
+  },
+  "maxItems": 20,
+  "type": "array"
+}

addedInput schema / properties / defaultContentLocale
```
Added value: +{
+  "type": "string"
+}
```

addedInput schema / properties / languageVariantGroupId

Added value: +{
+  "maxLength": 160,
+  "minLength": 1,
+  "type": "string"
+}

addedInput schema / properties / marketContext

Added value: +{
+  "properties": {
+    "currency": {
+      "anyOf": [
+        {
+          "type": "string"
+        },
+        {
+          "type": "null"
+        }
+      ]
+    },
+    "targetMarket": {
+      "anyOf": [
+        {
+          "type": "string"
+        },
+        {
+          "type": "null"
+        }
+      ]
+    },
+    "targetMarkets": {
+      "items": {
+        "type": "string"
+      },
+      "type": "array"
+    },
+    "timeZone": {
+      "anyOf": [
+        {
+          "type": "string"
+        },
+        {
+          "type": "null"
+        }
+      ]
+    }
+  },
+  "type": "object"
+}

addedInput schema / properties / marketLanguageProfile

Added value: +{
+  "additionalProperties": {},
+  "propertyNames": {
+    "type": "string"
+  },
+  "type": "object"
+}

addedInput schema / properties / requestedOutputLocales

Added value: +{
+  "items": {
+    "type": "string"
+  },
+  "maxItems": 20,
+  "type": "array"
+}

addedInput schema / properties / resolvedContentLocale
```
Added value: +{
+  "type": "string"
+}
```
addedInput schema / properties / sourceLocale
```
Added value: +{
+  "type": "string"
+}
```

addedInput schema / properties / supportedContentLocales

Added value: +{
+  "items": {
+    "type": "string"
+  },
+  "maxItems": 20,
+  "type": "array"
+}

addedInput schema / properties / targetMarket

Added value: +{
+  "maxLength": 160,
+  "minLength": 1,
+  "type": "string"
+}

addedInput schema / properties / targetMarkets

Added value: +{
+  "items": {
+    "maxLength": 160,
+    "minLength": 1,
+    "type": "string"
+  },
+  "maxItems": 50,
+  "type": "array"
+}

First observedAug 12, 2026

TDQS

C2.1/5.0

Behavior3/5

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 real context beyond that: synchronous execution, task support forbidden, and that the payload is internal orchestration state containing an assistantSummary field. It stops short of describing size, pagination, or failure behavior.

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

Conciseness2/5

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

The text is dominated by generic, template-like response-formatting boilerplate ("Prefer concise, human language...", "suggest the next best LeanrIQ action") that crowds out tool-specific information. It also opens by restating the tool name rather than front-loading anything useful.

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

Completeness2/5

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

For a 23-parameter, deeply nested read tool, the definition omits everything an agent needs to invoke it correctly (parameter meaning, required advertiserId, scope). The output schema exists so return values needn't be explained, but the input side and selection context are essentially absent.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

There are 23 parameters at 0% schema description coverage, including a required advertiserId, yet the description says nothing about any of them—no meaning for seatId, flightId, locale fields, or the nested marketContext. With this many undocumented inputs the description must compensate and it does not.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose2/5

Does the description clearly state what the tool does and how it differs from similar tools?

The opening "get advertiser" merely restates the tool name/title and never says what data is returned or how it differs from siblings like list_advertisers, get_current_seat, or get_campaign. The remaining text is presentation guidance, not purpose specification. An agent learns nothing about scope from this line.

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

Usage Guidelines2/5

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

There is no guidance on when to call this tool versus the many alternatives (list_advertisers, create_advertiser, update_advertiser, leanriq_resolve_or_provision_advertiser). The instructions present are about how to phrase responses to the user, not about tool selection or preconditions.

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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