LeoWorks Review & Lead Data Tools (via Apify MCP)

leoworks/amazon-review-classifier

leoworks--amazon-review-classifier

Destructive

This tool calls the Actor "leoworks/amazon-review-classifier" and retrieves its output results. Actor description: Amazon review analysis: complaints, return reasons, praise, sentiment. products = ASINs/URLs (collected by junglee, billed to you ~$6/1k; Free plan 10 reviews/run; ~$6.5/1k all-in), or datasetId from any scraper, or texts. For AliExpress use leoworks/aliexpress-reviews-classifier.

Input Schema

Name	Required	Description	Default
`texts`	No	Paste review texts directly (one per line). Use this OR “Reviews dataset”. Example values: ["Stopped charging after two weeks. Returning it.","Fits great but the fabric is see-through when I squat."]
`idFields`	No	Fields copied unchanged from each input item to the output so you can join results back (e.g. reviewId, productAsin). Leave empty to auto-pick reviewId and the product ASIN.
`maxItems`	No	Classify at most this many reviews (0 = all).
`maxStars`	No	For example 3 = classify only 1–3 star reviews (where complaints and returns are). 0 = all ratings. Reviews without a star rating are kept.
`products`	No	One product per line, up to 20: the 10-character ASIN (for example B0CWXNS552) or the product page URL (…/dp/ASIN; its marketplace is taken from the URL). The Actor then collects the reviews and classifies them in the same run. [Description truncated]
`waitSecs`	No	Max seconds (0–45, default 30) to cap the wait for the Actor run to reach terminal state. For long-running Actors the response returns at the cap with the current run status; follow `nextStep` to poll via get-actor-run. Set to 0 to fire-and-forget.
`collector`	No	The Amazon reviews scraper that collects for you. The default (junglee) returned and classified reviews in our test on amazon.com. The other is about six times cheaper but returned nothing for amazon.com in the same test — try it for other marketplaces. On the Free Apify plan, junglee returns at most 10 reviews per run (its own limit). Prices are the collectors' own and can change. Example values: "junglee/amazon-reviews-scraper"	junglee/amazon-reviews-scraper
`datasetId`	No	An Apify dataset containing Amazon reviews — for example the output of an Amazon reviews scraper. Use this OR “Products” (not both) OR “Review texts”.
`dateField`	No	Leave empty to auto-detect (date, reviewDate, reviewedIn, …). Used for the monthly trend, the last-90-days comparison and the date filter.
`textField`	No	Field holding the review text. Leave empty to auto-detect (reviewDescription, reviewText, text, body, …).
`outputMode`	No	Minimal mode returns only label keys — smaller and easier to aggregate. Example values: "full"	full
`photoField`	No	Field with the picture addresses of each review. Auto-detected (reviewImages, reviewImageUrls, images, imageUrls, photos); set it only if your scraper uses another name.
`collectSort`	No	Which reviews to collect first. Newest first is the least biased sample of what buyers say now. Example values: "recent"	recent
`healthCheck`	No	Internal: fail the run when results look degraded (used by the developer's scheduled checks).
`marketplace`	No	Which Amazon site the ASINs in “Products” belong to. A product URL carries its own marketplace and overrides this. Example values: "com"	com
`ratingField`	No	Leave empty to auto-detect (ratingScore, rating, stars, …).
`customLabels`	No	Up to 10 extra yes/no labels (each up to 200 characters) in plain language, e.g. “mentions the battery”, “compares with another brand”. Each gets a probability.
`photoJudging`	No	Adds `photoEvidence` (supports_complaint_product, supports_complaint_packaging, damage_seen_text_silent, no_evidence, not_product_photo) and puts photo-backed product defects, then photo-backed packaging damage, at the top of ACTION_QUEUE.csv. "Only reviews with a complaint or 3 stars or fewer" judges far fewer photos and is the recommended setting. Example values: "off"	off
`photoMaxSide`	No	Longest side in pixels requested from the photo server (512, 768 or 1024; other values are rounded). Amazon review photos arrive as 88 px thumbnails, so a larger version is requested. Photos under 280 pixels on the short side are skipped. Example values: 768
`variantField`	No	Leave empty to auto-detect (variant, variantName, …). Used for the worst-variants breakdown.
`verifiedOnly`	No	Skip reviews not marked as a verified purchase (needs a field such as `isVerified`).
`maxConcurrency`	No	Reviews classified in parallel. Example values: 10
`extraTextFields`	No	Fields to prepend to the text (up to 5). Leave empty to add the review headline automatically (reviewTitle).
`reviewsNewerThan`	No	Classify only reviews published after this date — a date like `2026-01-01` or a period like `90 days`, `6 months`, `1 year`. Needs a review date in the dataset (e.g. `date`). Leave empty for all.
`summaryGroupField`	No	Field in your dataset that identifies the product (e.g. `productAsin`). The run then saves a REPORT record with, per product: complaint rate and complaint mix, sentiment shares, average stars, share of reviews with a return or refund and 3 example complaints. Leave empty to detect it automatically. No extra charge.
`complaintThreshold`	No	Minimum probability (0–1) for the strongest complaint type, the return-intent flag or a custom label to be reported. Example values: 0.5
`maxPhotosPerReview`	No	The first photos of each review. With "All reviews that have photos", at most 2 photos per review are judged. Example values: 2
`secondaryThreshold`	No	Minimum probability (0–1) for any further complaint type after the strongest one. Product complaints overlap (a weak item can also feel uncomfortable), so side labels need to be surer. Lower it to see more labels per review. Example values: 0.8
`maxReviewsPerProduct`	No	Classify at most this many reviews per product (ASIN), in dataset order. 0 = no limit.
`collectReviewsPerProduct`	No	How many reviews to collect for each product (1 to 100). You pay the collector for each one, so a lower number is cheaper; “Max reviews per product” below limits only how many are classified. Example values: 50

Output Schema

Name	Required	Description
`tip`	No	Advisory guidance RAG Web Browser wrote to its key-value store under the reserved "TIP" key
`runId`	Yes	Actor run ID
`stats`	No	Run statistics
`status`	Yes	Run status: READY \| RUNNING \| TIMING-OUT \| TIMED-OUT \| ABORTING \| ABORTED \| SUCCEEDED \| FAILED
`actorId`	Yes	Stable Apify Actor ID from the run record
`summary`	Yes	Past-tense summary of the run state
`exitCode`	No	Actor process exit code; populated for terminal states (especially FAILED)
`nextStep`	Yes	One primary follow-up action with identifiers interpolated
`storages`	Yes	Dataset and key-value store metadata, keyed by alias. "default" is always the primary entry.
`actorName`	No	"username/actor-name"
`startedAt`	No	ISO timestamp when the run started
`finishedAt`	No	ISO timestamp when the run finished (terminal states only)
`statusMessage`	No	Pass-through from Apify run.statusMessage
`apifyConsoleUrl`	No	Personalized Apify Console link to the run; present only for Console sessions

Schema Changelog

Changes observed during successful MCP inspections.

Changed1 schema field changedOct 23, 2026

addedOutput schema / properties / storages / properties / datasets / properties / default / properties / itemsSchema

Added value: +{
+  "description": "JSON Schema for rows in the dataset at `storages.datasets.default.id` — describes row shape only; the rows themselves are NOT returned inline in this response. Inferred from this Actor's historical successful runs. To fetch actual rows, call `get-dataset-items` with the dataset id and a `fields` projection drawn from this schema.",
+  "properties": {
+    "action": {
+      "type": "boolean"
+    },
+    "complaintTypes": {
+      "type": "string"
+    },
+    "index": {
+      "type": "number"
+    },
+    "labels": {
+      "properties": {
+        "complaint": {
+          "items": {
+            "properties": {
+              "label": {
+                "type": "string"
+              },
+              "probability": {
+                "type": "number"
+              }
+            },
+            "type": "object"
+          },
+          "type": "array"
+        },
+        "complaintScores": {
+          "items": {
+            "properties": {
+              "label": {
+                "type": "string"
+              },
+              "probability": {
+                "type": "number"
+              }
+            },
+            "type": "object"
+          },
+          "type": "array"
+        },
+        "praise": {
+          "items": {
+            "properties": {
+              "label": {
+                "type": "string"
+              },
+              "probability": {
+                "type": "number"
+              }
+            },
+            "type": "object"
+          },
+          "type": "array"
+        },
+        "returnIntent": {
+          "properties": {
+            "matched": {
+              "type": "boolean"
+            },
+            "probability": {
+              "type": "number"
+            }
+          },
+          "type": "object"
+        },
+        "sentiment": {
+          "properties": {
+            "confidence": {
+              "type": "number"
+            },
+            "label": {
+              "type": "string"
+            },
+            "probability": {
+              "type": "number"
+            }
+          },
+          "type": "object"
+        }
+      },
+      "type": "object"
+    },
+    "model": {
+      "type": "string"
+    },
+    "praiseTypes": {
+      "type": "string"
+    },
+    "rating": {
+      "type": "null"
+    },
+    "returnIntent": {
+      "type": "boolean"
+    },
+    "sentiment": {
+      "type": "string"
+    },
+    "text": {
+      "type": "string"
+    }
+  },
+  "type": "object"
+}

Changed1 schema field changedOct 23, 2026

removedOutput schema / properties / storages / properties / datasets / properties / default / properties / itemsSchema

Removed value: -{
-  "description": "JSON Schema for rows in the dataset at `storages.datasets.default.id` — describes row shape only; the rows themselves are NOT returned inline in this response. Inferred from this Actor's historical successful runs. To fetch actual rows, call `get-dataset-items` with the dataset id and a `fields` projection drawn from this schema.",
-  "properties": {
-    "action": {
-      "type": "boolean"
-    },
-    "complaintTypes": {
-      "type": "string"
-    },
-    "index": {
-      "type": "number"
-    },
-    "labels": {
-      "properties": {
-        "complaint": {
-          "items": {
-            "properties": {
-              "label": {
-                "type": "string"
-              },
-              "probability": {
-                "type": "number"
-              }
-            },
-            "type": "object"
-          },
-          "type": "array"
-        },
-        "complaintScores": {
-          "items": {
-            "properties": {
-              "label": {
-                "type": "string"
-              },
-              "probability": {
-                "type": "number"
-              }
-            },
-            "type": "object"
-          },
-          "type": "array"
-        },
-        "praise": {
-          "items": {
-            "properties": {
-              "label": {
-                "type": "string"
-              },
-              "probability": {
-                "type": "number"
-              }
-            },
-            "type": "object"
-          },
-          "type": "array"
-        },
-        "returnIntent": {
-          "properties": {
-            "matched": {
-              "type": "boolean"
-            },
-            "probability": {
-              "type": "number"
-            }
-          },
-          "type": "object"
-        },
-        "sentiment": {
-          "properties": {
-            "confidence": {
-              "type": "number"
-            },
-            "label": {
-              "type": "string"
-            },
-            "probability": {
-              "type": "number"
-            }
-          },
-          "type": "object"
-        }
-      },
-      "type": "object"
-    },
-    "model": {
-      "type": "string"
-    },
-    "praiseTypes": {
-      "type": "string"
-    },
-    "rating": {
-      "type": "null"
-    },
-    "returnIntent": {
-      "type": "boolean"
-    },
-    "sentiment": {
-      "type": "string"
-    },
-    "text": {
-      "type": "string"
-    }
-  },
-  "type": "object"
-}

Changed24 schema fields changedOct 18, 2026

addedInput schema / properties / collectReviewsPerProduct

Added value: +{
+  "default": 50,
+  "description": "How many reviews to collect for each product (1 to 100). You pay the collector for each one, so a lower number is cheaper; “Max reviews per product” below limits only how many are classified.\nExample values: 50",
+  "examples": [
+    50
+  ],
+  "title": "Reviews to collect per product",
+  "type": "integer"
+}

addedInput schema / properties / collectSort

Added value: +{
+  "default": "recent",
+  "description": "Which reviews to collect first. Newest first is the least biased sample of what buyers say now.\nExample values: \"recent\"",
+  "enum": [
+    "recent",
+    "helpful"
+  ],
+  "examples": [
+    "recent"
+  ],
+  "title": "Collect: order",
+  "type": "string"
+}

addedInput schema / properties / collector

Added value: +{
+  "default": "junglee/amazon-reviews-scraper",
+  "description": "The Amazon reviews scraper that collects for you. The default (junglee) returned and classified reviews in our test on amazon.com. The other is about six times cheaper but returned nothing for amazon.com in the same test — try it for other marketplaces. On the Free Apify plan, junglee returns at most 10 reviews per run (its own limit). Prices are the collectors' own and can change.\nExample values: \"junglee/amazon-reviews-scraper\"",
+  "enum": [
+    "junglee/amazon-reviews-scraper",
+    "web_wanderer/amazon-reviews-extractor"
+  ],
+  "examples": [
+    "junglee/amazon-reviews-scraper"
+  ],
+  "title": "Collector (advanced)",
+  "type": "string"
+}

changedInput schema / properties / datasetId / description

Previous value: -"An Apify dataset containing Amazon reviews — for example the output of an Amazon reviews scraper. Use this OR “Review texts”."New value: +"An Apify dataset containing Amazon reviews — for example the output of an Amazon reviews scraper. Use this OR “Products” (not both) OR “Review texts”."

addedInput schema / properties / marketplace

Added value: +{
+  "default": "com",
+  "description": "Which Amazon site the ASINs in “Products” belong to. A product URL carries its own marketplace and overrides this.\nExample values: \"com\"",
+  "enum": [
+    "com",
+    "co.uk",
+    "de",
+    "fr",
+    "it",
+    "es",
+    "ca",
+    "com.au",
+    "co.jp",
+    "in",
+    "com.mx",
+    "com.br",
+    "nl",
+    "se",
+    "ae"
+  ],
+  "examples": [
+    "com"
+  ],
+  "title": "Marketplace (for ASINs)",
+  "type": "string"
+}

addedInput schema / properties / products

Added value: +{
+  "description": "One product per line, up to 20: the 10-character ASIN (for example B0CWXNS552) or the product page URL (…/dp/ASIN; its marketplace is taken from the URL). The Actor then collects the reviews and classifies them in the same run.\n\n[Description truncated]",
+  "items": {
+    "description": "One product per line, up to 20: the 10-character ASIN (for example B0CWXNS552) or the product page URL (…/dp/ASIN; its marketplace is taken from the URL). The Actor then collects the reviews and classifies them in the same run. Collection is done by an existing Amazon reviews scraper (a separate Actor that Apify bills to your account — about $0.006 per review for the default collector, about $0.001 for the alternative; the estimate is shown in the run log before anything is collected); this Actor adds $0.0005 per classified review. No Amazon login or cookies are used, and reviewer names and profiles are switched off. Amazon shows at most about 100 reviews per product this way. Use this OR “Reviews dataset”; if both are set the run stops.",
+    "title": "Products (collect the reviews for me) — ASINs or Amazon product URLs",
+    "type": "string"
+  },
+  "title": "Products (collect the reviews for me) — ASINs or Amazon product URLs",
+  "type": "array"
+}

removedOutput schema / properties / storages / properties / datasets / properties / default / properties / itemsSchema / properties / asin
```
Removed value: -{
-  "type": "string"
-}
```
removedOutput schema / properties / storages / properties / datasets / properties / default / properties / itemsSchema / properties / country
```
Removed value: -{
-  "type": "string"
-}
```
removedOutput schema / properties / storages / properties / datasets / properties / default / properties / itemsSchema / properties / helpfulVotes
```
Removed value: -{
-  "type": "number"
-}
```

removed

Output schema / properties / storages / properties / datasets / properties / default / properties / itemsSchema / properties / labels / properties / starTextMismatch

Removed value: -{
-  "properties": {
-    "matched": {
-      "type": "boolean"
-    },
-    "rating": {
-      "type": "number"
-    },
-    "sentiment": {
-      "type": "string"
-    }
-  },
-  "type": "object"
-}

removedOutput schema / properties / storages / properties / datasets / properties / default / properties / itemsSchema / properties / photoEvidence
```
Removed value: -{
-  "type": "string"
-}
```

removed

Output schema / properties / storages / properties / datasets / properties / default / properties / itemsSchema / properties / photoLabels

Removed value: -{
-  "properties": {
-    "isRealItem": {
-      "type": "number"
-    },
-    "model": {
-      "type": "string"
-    },
-    "packagingDamage": {
-      "type": "number"
-    },
-    "perPhoto": {
-      "items": {
-        "properties": {
-          "height": {
-            "type": "number"
-          },
-          "isRealItem": {
-            "type": "number"
-          },
-          "matchesText": {
-            "type": "number"
-          },
-          "packagingDamage": {
-            "type": "number"
-          },
-          "productDamage": {
-            "type": "number"
-          },
-          "width": {
-            "type": "number"
-          }
-        },
-        "type": "object"
-      },
-      "type": "array"
-    },
-    "productDamage": {
-      "type": "number"
-    },
-    "questions": {
-      "type": "string"
-    },
-    "supportsComplaint": {
-      "type": "number"
-    }
-  },
-  "type": "object"
-}

removedOutput schema / properties / storages / properties / datasets / properties / default / properties / itemsSchema / properties / photoStatus
```
Removed value: -{
-  "type": "string"
-}
```
removedOutput schema / properties / storages / properties / datasets / properties / default / properties / itemsSchema / properties / photoUrl
```
Removed value: -{
-  "type": "string"
-}
```
removedOutput schema / properties / storages / properties / datasets / properties / default / properties / itemsSchema / properties / photosJudged
```
Removed value: -{
-  "type": "number"
-}
```
removedOutput schema / properties / storages / properties / datasets / properties / default / properties / itemsSchema / properties / productAsin
```
Removed value: -{
-  "type": "string"
-}
```
removedOutput schema / properties / storages / properties / datasets / properties / default / properties / itemsSchema / properties / publishedAt
```
Removed value: -{
-  "type": "string"
-}
```
changedOutput schema / properties / storages / properties / datasets / properties / default / properties / itemsSchema / properties / rating / type
```
Previous value: -[
-  "number",
-  "null"
-]New value: +"null"
```
removedOutput schema / properties / storages / properties / datasets / properties / default / properties / itemsSchema / properties / reviewId
```
Removed value: -{
-  "type": "string"
-}
```
removedOutput schema / properties / storages / properties / datasets / properties / default / properties / itemsSchema / properties / reviewUrl
```
Removed value: -{
-  "type": "string"
-}
```
removedOutput schema / properties / storages / properties / datasets / properties / default / properties / itemsSchema / properties / starTextMismatch
```
Removed value: -{
-  "type": "boolean"
-}
```
removedOutput schema / properties / storages / properties / datasets / properties / default / properties / itemsSchema / properties / variant
```
Removed value: -{
-  "type": "string"
-}
```
removedOutput schema / properties / storages / properties / datasets / properties / default / properties / itemsSchema / properties / verified
```
Removed value: -{
-  "type": "boolean"
-}
```
removedOutput schema / properties / storages / properties / datasets / properties / default / properties / itemsSchema / properties / vine
```
Removed value: -{
-  "type": "boolean"
-}
```

Changed1 schema field changedOct 18, 2026
- changedOutput schema / properties / storages / properties / datasets / properties / default / properties / itemsSchema / properties / rating / type
```
Previous value: -[
-  "null",
-  "number"
-]New value: +[
+  "number",
+  "null"
+]
```
Changed1 schema field changedOct 18, 2026
- changedOutput schema / properties / storages / properties / datasets / properties / default / properties / itemsSchema / properties / rating / type
```
Previous value: -[
-  "number",
-  "null"
-]New value: +[
+  "null",
+  "number"
+]
```
Changed1 schema field changedOct 18, 2026
- changedOutput schema / properties / storages / properties / datasets / properties / default / properties / itemsSchema / properties / rating / type
```
Previous value: -[
-  "null",
-  "number"
-]New value: +[
+  "number",
+  "null"
+]
```
Changed1 schema field changedOct 17, 2026
- changedOutput schema / properties / storages / properties / datasets / properties / default / properties / itemsSchema / properties / rating / type
```
Previous value: -[
-  "number",
-  "null"
-]New value: +[
+  "null",
+  "number"
+]
```
Changed1 schema field changedOct 17, 2026
- changedOutput schema / properties / storages / properties / datasets / properties / default / properties / itemsSchema / properties / rating / type
```
Previous value: -[
-  "null",
-  "number"
-]New value: +[
+  "number",
+  "null"
+]
```
Changed1 schema field changedOct 17, 2026
- changedOutput schema / properties / storages / properties / datasets / properties / default / properties / itemsSchema / properties / rating / type
```
Previous value: -[
-  "number",
-  "null"
-]New value: +[
+  "null",
+  "number"
+]
```
Changed2 schema fields changedOct 17, 2026
- addedOutput schema / properties / storages / properties / datasets / properties / default / properties / itemsSchema / properties / index
```
Added value: +{
+  "type": "number"
+}
```
- changedOutput schema / properties / storages / properties / datasets / properties / default / properties / itemsSchema / properties / rating / type
```
Previous value: -"number"New value: +[
+  "number",
+  "null"
+]
```

Changed5 schema fields changedOct 17, 2026

addedInput schema / properties / maxPhotosPerReview

Added value: +{
+  "default": 2,
+  "description": "The first photos of each review. With \"All reviews that have photos\", at most 2 photos per review are judged.\nExample values: 2",
+  "examples": [
+    2
+  ],
+  "title": "Photos judged per review",
+  "type": "integer"
+}

addedInput schema / properties / photoField

Added value: +{
+  "description": "Field with the picture addresses of each review. Auto-detected (reviewImages, reviewImageUrls, images, imageUrls, photos); set it only if your scraper uses another name.",
+  "title": "Photo field",
+  "type": "string"
+}

addedInput schema / properties / photoJudging

Added value: +{
+  "default": "off",
+  "description": "Adds `photoEvidence` (supports_complaint_product, supports_complaint_packaging, damage_seen_text_silent, no_evidence, not_product_photo) and puts photo-backed product defects, then photo-backed packaging damage, at the top of ACTION_QUEUE.csv. \"Only reviews with a complaint or 3 stars or fewer\" judges far fewer photos and is the recommended setting.\nExample values: \"off\"",
+  "enum": [
+    "off",
+    "complaints",
+    "all"
+  ],
+  "examples": [
+    "off"
+  ],
+  "title": "Judge review photos (beta)",
+  "type": "string"
+}

addedInput schema / properties / photoMaxSide

Added value: +{
+  "default": 768,
+  "description": "Longest side in pixels requested from the photo server (512, 768 or 1024; other values are rounded). Amazon review photos arrive as 88 px thumbnails, so a larger version is requested. Photos under 280 pixels on the short side are skipped.\nExample values: 768",
+  "examples": [
+    768
+  ],
+  "title": "Photo size",
+  "type": "integer"
+}

addedOutput schema / properties / storages / properties / datasets / properties / default / properties / itemsSchema

Added value: +{
+  "description": "JSON Schema for rows in the dataset at `storages.datasets.default.id` — describes row shape only; the rows themselves are NOT returned inline in this response. Inferred from this Actor's historical successful runs. To fetch actual rows, call `get-dataset-items` with the dataset id and a `fields` projection drawn from this schema.",
+  "properties": {
+    "action": {
+      "type": "boolean"
+    },
+    "asin": {
+      "type": "string"
+    },
+    "complaintTypes": {
+      "type": "string"
+    },
+    "country": {
+      "type": "string"
+    },
+    "helpfulVotes": {
+      "type": "number"
+    },
+    "labels": {
+      "properties": {
+        "complaint": {
+          "items": {
+            "properties": {
+              "label": {
+                "type": "string"
+              },
+              "probability": {
+                "type": "number"
+              }
+            },
+            "type": "object"
+          },
+          "type": "array"
+        },
+        "complaintScores": {
+          "items": {
+            "properties": {
+              "label": {
+                "type": "string"
+              },
+              "probability": {
+                "type": "number"
+              }
+            },
+            "type": "object"
+          },
+          "type": "array"
+        },
+        "praise": {
+          "items": {
+            "properties": {
+              "label": {
+                "type": "string"
+              },
+              "probability": {
+                "type": "number"
+              }
+            },
+            "type": "object"
+          },
+          "type": "array"
+        },
+        "returnIntent": {
+          "properties": {
+            "matched": {
+              "type": "boolean"
+            },
+            "probability": {
+              "type": "number"
+            }
+          },
+          "type": "object"
+        },
+        "sentiment": {
+          "properties": {
+            "confidence": {
+              "type": "number"
+            },
+            "label": {
+              "type": "string"
+            },
+            "probability": {
+              "type": "number"
+            }
+          },
+          "type": "object"
+        },
+        "starTextMismatch": {
+          "properties": {
+            "matched": {
+              "type": "boolean"
+            },
+            "rating": {
+              "type": "number"
+            },
+            "sentiment": {
+              "type": "string"
+            }
+          },
+          "type": "object"
+        }
+      },
+      "type": "object"
+    },
+    "model": {
+      "type": "string"
+    },
+    "photoEvidence": {
+      "type": "string"
+    },
+    "photoLabels": {
+      "properties": {
+        "isRealItem": {
+          "type": "number"
+        },
+        "model": {
+          "type": "string"
+        },
+        "packagingDamage": {
+          "type": "number"
+        },
+        "perPhoto": {
+          "items": {
+            "properties": {
+              "height": {
+                "type": "number"
+              },
+              "isRealItem": {
+                "type": "number"
+              },
+              "matchesText": {
+                "type": "number"
+              },
+              "packagingDamage": {
+                "type": "number"
+              },
+              "productDamage": {
+                "type": "number"
+              },
+              "width": {
+                "type": "number"
+              }
+            },
+            "type": "object"
+          },
+          "type": "array"
+        },
+        "productDamage": {
+          "type": "number"
+        },
+        "questions": {
+          "type": "string"
+        },
+        "supportsComplaint": {
+          "type": "number"
+        }
+      },
+      "type": "object"
+    },
+    "photoStatus": {
+      "type": "string"
+    },
+    "photoUrl": {
+      "type": "string"
+    },
+    "photosJudged": {
+      "type": "number"
+    },
+    "praiseTypes": {
+      "type": "string"
+    },
+    "productAsin": {
+      "type": "string"
+    },
+    "publishedAt": {
+      "type": "string"
+    },
+    "rating": {
+      "type": "number"
+    },
+    "returnIntent": {
+      "type": "boolean"
+    },
+    "reviewId": {
+      "type": "string"
+    },
+    "reviewUrl": {
+      "type": "string"
+    },
+    "sentiment": {
+      "type": "string"
+    },
+    "starTextMismatch": {
+      "type": "boolean"
+    },
+    "text": {
+      "type": "string"
+    },
+    "variant": {
+      "type": "string"
+    },
+    "verified": {
+      "type": "boolean"
+    },
+    "vine": {
+      "type": "boolean"
+    }
+  },
+  "type": "object"
+}

Changed1 schema field changedOct 16, 2026

removedOutput schema / properties / storages / properties / datasets / properties / default / properties / itemsSchema

Removed value: -{
-  "description": "JSON Schema for rows in the dataset at `storages.datasets.default.id` — describes row shape only; the rows themselves are NOT returned inline in this response. Inferred from this Actor's historical successful runs. To fetch actual rows, call `get-dataset-items` with the dataset id and a `fields` projection drawn from this schema.",
-  "properties": {
-    "action": {
-      "type": "boolean"
-    },
-    "complaintTypes": {
-      "type": "string"
-    },
-    "index": {
-      "type": "number"
-    },
-    "labels": {
-      "properties": {
-        "complaint": {
-          "items": {
-            "properties": {
-              "label": {
-                "type": "string"
-              },
-              "probability": {
-                "type": "number"
-              }
-            },
-            "type": "object"
-          },
-          "type": "array"
-        },
-        "complaintScores": {
-          "items": {
-            "properties": {
-              "label": {
-                "type": "string"
-              },
-              "probability": {
-                "type": "number"
-              }
-            },
-            "type": "object"
-          },
-          "type": "array"
-        },
-        "praise": {
-          "items": {
-            "properties": {
-              "label": {
-                "type": "string"
-              },
-              "probability": {
-                "type": "number"
-              }
-            },
-            "type": "object"
-          },
-          "type": "array"
-        },
-        "returnIntent": {
-          "properties": {
-            "matched": {
-              "type": "boolean"
-            },
-            "probability": {
-              "type": "number"
-            }
-          },
-          "type": "object"
-        },
-        "sentiment": {
-          "properties": {
-            "confidence": {
-              "type": "number"
-            },
-            "label": {
-              "type": "string"
-            },
-            "probability": {
-              "type": "number"
-            }
-          },
-          "type": "object"
-        }
-      },
-      "type": "object"
-    },
-    "model": {
-      "type": "string"
-    },
-    "praiseTypes": {
-      "type": "string"
-    },
-    "rating": {
-      "type": "null"
-    },
-    "returnIntent": {
-      "type": "boolean"
-    },
-    "sentiment": {
-      "type": "string"
-    },
-    "text": {
-      "type": "string"
-    }
-  },
-  "type": "object"
-}

AddedOct 16, 2026

TDQS

A4.1/5.0

Behavior4/5

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

Annotations declare destructiveHint=true and openWorldHint=true, but the description adds substantial context annotations cannot carry: per-review billing (~$6/1k collector, $0.0005 classified), Free-plan caps, no-login/no-cookies collection, and the ~100 reviews/product ceiling. It never explains the destructive/state-creating nature, which is the one notable gap.

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

Conciseness4/5

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

Two tight sentences followed by the compact actor summary; the primary function is front-loaded before the sourcing and pricing details. It is dense but every clause carries routing or cost information rather than filler.

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

Completeness4/5

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

For a 30-parameter, zero-required, output-schema-backed tool, the description supplies the routing, billing, and sourcing facts an agent needs before committing to a paid run. Return values are covered by the output schema, so remaining detail lives in the right place.

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% across all 30 parameters, so the schema already documents inputs thoroughly, including the mutual exclusivity of products/datasetId/texts. The description restates the input modes and cost tiers rather than adding new parameter meaning, so a baseline 3 is warranted.

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 ('calls the Actor leoworks/amazon-review-classifier and retrieves its output'), and the actor summary pinpoints the function: complaints, return reasons, praise, sentiment. It also names the sibling to use for a different marketplace (AliExpress), so an agent can route without opening 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?

Explicitly routes AliExpress traffic to leoworks/aliexpress-reviews-classifier and lays out the three input modes (products, datasetId, texts) with cost implications. It stops short of a full when-not-to-use statement, but the branching guidance is clear and actionable.

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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