LeanrIQ

list templates

list_templates

Read-onlyIdempotent

list templates. 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
`limit`	No
`cursor`	No
`seatId`	No
`status`	No
`seatName`	No
`accountId`	No
`campaignId`	No
`creativeId`	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

C2.6/5.0

Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false and openWorldHint=false, but the description adds real context beyond them: synchronous execution, task support forbidden, and that the payload is internal application state centered on an assistantSummary field. That is meaningful disclosure about output shape and interaction mode.

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?

Sentences are short and the operational facts are stated up front, but a large share of the text is orchestration/presentation boilerplate ('internal application state for LeanrIQ and ChatGPT orchestration', styling rules) that serves the answer-writing step rather than tool selection or invocation.

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-value documentation is not required, but for a tool with 21 undocumented filter parameters and no stated filtering scope, the definition omits what an agent needs to call it correctly. Nothing explains what a template is or how the many optional filters interact.

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 21 optional parameters (limit, cursor, and a large set of ID/locale/market filters, including nested objects) with 0% schema description coverage and no enums. The description mentions no parameter, no filter semantics, no pagination-via-cursor behavior, and does not compensate for the coverage gap at all.

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

Purpose3/5

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

The first sentence, 'list templates,' is essentially the tool name restated; it gives a verb and a resource but nothing about what a template is or what the listing returns. It also does not distinguish the tool from its obvious sibling get_template. The remaining sentences describe execution and presentation policy rather than purpose.

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 list_templates versus get_template, or in what workflow context templates are enumerated. The only 'guidance' is about how to phrase the answer to the user (use assistantSummary first, don't show raw JSON), which is response formatting, not tool-selection guidance.

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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