LeanrIQ

get preview link

get_preview_link

Read-onlyIdempotent

get preview link. 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`	Yes
`campaignId`	No
`creativeId`	No
`templateId`	No
`advertiserId`	No
`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

C2.4/5.0

Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, non-destructive, and closed-world, so the safety profile is covered. The description adds genuine behavioral context beyond that: synchronous execution, task support forbidden, and the fact that the returned JSON is internal orchestration state meant to be summarized rather than shown raw. This is meaningful disclosure the annotations do not carry.

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

Conciseness3/5

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

The text is moderately sized but front-loads a tautological restatement and a machine-style classification preamble before the actually useful response guidance. The later sentences about formatting and next actions are useful but repetitive, so it is only adequately structured.

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?

An output schema exists so return values needn't be explained, but for a tool with 23 nested input parameters and 0% schema coverage the description omits all input semantics. It is complete on response etiquette and incomplete on the inputs an agent must supply.

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?

The schema has 23 parameters with 0% description coverage, including nested objects, yet the description says nothing about any parameter or what previewId (the only required field) identifies. With such a large and undocumented input surface, the description fails to compensate at all.

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 sentence 'get preview link' merely restates the tool name and title without saying what a preview link is, what resource it retrieves, or what it is used for. The rest of the text describes how to handle the response, not the purpose, so an agent learns almost nothing about the operation itself.

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 response-handling guidance (use assistantSummary, don't dump raw JSON, mention IDs sparingly), but nothing about when to call this tool versus alternatives. The sibling 'generate_preview_links' is never mentioned or differentiated, leaving tool selection to inference.

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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