Agent Central

Search query performance

get_search_query_performance

Read-only

Returns Brand Analytics SQP weekly market search query volume plus your ASIN's full per-query funnel: impression count and impression-share, click count and click-share, cart-add count and share, and purchase count and share, with market vs brand conversion rate and a deterministic funnel_stage label (no_impressions, impressions_no_clicks, clicks_no_cart_adds, cart_adds_no_purchases, converting) showing where the ASIN drops off. Use it to tell 'no impressions' apart from 'impressions but no clicks' for a query/ASIN. Weekly periods do not imply weekly refresh: cadence depends on billing tier. Historical windows can expand during backfill. Amazon source reports can contain only 100 queries per ASIN/period; this tool adds no fixed 100-row cap. Pagination covers stored rows, not exhaustive Amazon query coverage. Does not include ad spend/ACOS or the search terms that triggered ads; use get_search_terms/get_keyword_performance for ads search-term data.

Input Schema

Name	Required	Description	Default
`asin`	No	Filter by ASIN (exact match)
`limit`	No	Max rows (1-1000, default 20).
`offset`	No	Pagination offset (0-100000, default 0). Use the returned pagination.next_offset to continue.
`sort_by`	No	Column to sort by	search_query_volume
`end_date`	No	Optional. YYYY-MM-DD end date for week range. The range may span at most 366 days. Defaults to today if omitted.
`min_volume`	No	Minimum search query volume
`sort_order`	No	Sort order	desc
`start_date`	No	Optional. YYYY-MM-DD start date for week range. The range may span at most 366 days. Defaults to 30 days ago if omitted.
`search_query`	No	Filter by search query (LIKE match, use % for wildcards)
`include_raw_rows`	No	For tabular results, false returns compact rows capped at MCP_TEXT_ROW_PREVIEW_LIMIT (default 10), regardless of limit. Complete-page and custom non-tabular responses may ignore this option; see tool-specific notes. Default true; large full-row responses are capped separately. Freshness fields require include_diagnostics=true in either row mode, where supported.
`include_diagnostics`	No	True enables expanded freshness diagnostics. Where supported, snapshot_capture_at and snapshot_data_through_date are populated only when include_diagnostics=true, in both compact and full-row modes; values may still be null if source data is unavailable. Default false. Basic empty-result data-window diagnostics are included by default when available.

Output Schema

Name	Required	Description	Default
`evidence`	No

Schema Changelog

Changes observed during successful MCP inspections.

Changed30 schema fields changedNov 7, 2026

changedInput schema / $schema

Previous value: -"http://json-schema.org/draft-07/schema#"New value: +"https://json-schema.org/draft/2020-12/schema"

addedInput schema / properties / min_volume / maximum
```
Added value: +9007199254740991
```

changedOutput schema / $schema

Previous value: -"http://json-schema.org/draft-07/schema#"New value: +"https://json-schema.org/draft/2020-12/schema"

changedOutput schema / additionalProperties
```
Previous value: -trueNew value: +{}
```
removedOutput schema / properties / evidence / properties / effective_scope / $ref
```
Removed value: -"#/properties/evidence/properties/requested_scope"
```
addedOutput schema / properties / evidence / properties / effective_scope / additionalProperties
```
Added value: +false
```

addedOutput schema / properties / evidence / properties / effective_scope / properties

Added value: +{
+  "end_date": {
+    "anyOf": [
+      {
+        "format": "date",
+        "pattern": "^(?:(?:\\d\\d[2468][048]|\\d\\d[13579][26]|\\d\\d0[48]|[02468][048]00|[13579][26]00)-02-29|\\d{4}-(?:(?:0[13578]|1[02])-(?:0[1-9]|[12]\\d|3[01])|(?:0[469]|11)-(?:0[1-9]|[12]\\d|30)|(?:02)-(?:0[1-9]|1\\d|2[0-8])))$",
+        "type": "string"
+      },
+      {
+        "type": "null"
+      }
+    ]
+  },
+  "filters": {
+    "additionalProperties": {},
+    "propertyNames": {
+      "type": "string"
+    },
+    "type": "object"
+  },
+  "group_by": {
+    "items": {
+      "maxLength": 128,
+      "minLength": 1,
+      "type": "string"
+    },
+    "type": "array"
+  },
+  "marketplace_id": {
+    "anyOf": [
+      {
+        "minLength": 1,
+        "type": "string"
+      },
+      {
+        "type": "null"
+      }
+    ]
+  },
+  "reporting_time_zone": {
+    "anyOf": [
+      {
+        "minLength": 1,
+        "type": "string"
+      },
+      {
+        "type": "null"
+      }
+    ]
+  },
+  "sort": {
+    "items": {
+      "additionalProperties": false,
+      "properties": {
+        "direction": {
+          "enum": [
+            "asc",
+            "desc"
+          ],
+          "type": "string"
+        },
+        "field": {
+          "maxLength": 128,
+          "minLength": 1,
+          "type": "string"
+        }
+      },
+      "required": [
+        "field",
+        "direction"
+      ],
+      "type": "object"
+    },
+    "type": "array"
+  },
+  "start_date": {
+    "anyOf": [
+      {
+        "format": "date",
+        "pattern": "^(?:(?:\\d\\d[2468][048]|\\d\\d[13579][26]|\\d\\d0[48]|[02468][048]00|[13579][26]00)-02-29|\\d{4}-(?:(?:0[13578]|1[02])-(?:0[1-9]|[12]\\d|3[01])|(?:0[469]|11)-(?:0[1-9]|[12]\\d|30)|(?:02)-(?:0[1-9]|1\\d|2[0-8])))$",
+        "type": "string"
+      },
+      {
+        "type": "null"
+      }
+    ]
+  }
+}

addedOutput schema / properties / evidence / properties / effective_scope / required

Added value: +[
+  "marketplace_id",
+  "start_date",
+  "end_date",
+  "reporting_time_zone",
+  "group_by",
+  "sort",
+  "filters"
+]

addedOutput schema / properties / evidence / properties / effective_scope / type
```
Added value: +"object"
```
removedOutput schema / properties / evidence / properties / grain / items / $ref
```
Removed value: -"#/properties/evidence/properties/tool"
```
addedOutput schema / properties / evidence / properties / grain / items / maxLength
```
Added value: +128
```
addedOutput schema / properties / evidence / properties / grain / items / minLength
```
Added value: +1
```
addedOutput schema / properties / evidence / properties / grain / items / type
```
Added value: +"string"
```
removedOutput schema / properties / evidence / properties / join_keys / items / properties / field / $ref
```
Removed value: -"#/properties/evidence/properties/tool"
```
addedOutput schema / properties / evidence / properties / join_keys / items / properties / field / maxLength
```
Added value: +128
```
addedOutput schema / properties / evidence / properties / join_keys / items / properties / field / minLength
```
Added value: +1
```
addedOutput schema / properties / evidence / properties / join_keys / items / properties / field / type
```
Added value: +"string"
```

changedOutput schema / properties / evidence / properties / observed / properties / data_start / anyOf

Previous value: -[
-  {
-    "format": "date",
-    "type": "string"
-  },
-  {
-    "type": "null"
-  }
-]New value: +[
+  {
+    "format": "date",
+    "pattern": "^(?:(?:\\d\\d[2468][048]|\\d\\d[13579][26]|\\d\\d0[48]|[02468][048]00|[13579][26]00)-02-29|\\d{4}-(?:(?:0[13578]|1[02])-(?:0[1-9]|[12]\\d|3[01])|(?:0[469]|11)-(?:0[1-9]|[12]\\d|30)|(?:02)-(?:0[1-9]|1\\d|2[0-8])))$",
+    "type": "string"
+  },
+  {
+    "type": "null"
+  }
+]

changedOutput schema / properties / evidence / properties / observed / properties / data_through / anyOf

Previous value: -[
-  {
-    "format": "date",
-    "type": "string"
-  },
-  {
-    "type": "null"
-  }
-]New value: +[
+  {
+    "format": "date",
+    "pattern": "^(?:(?:\\d\\d[2468][048]|\\d\\d[13579][26]|\\d\\d0[48]|[02468][048]00|[13579][26]00)-02-29|\\d{4}-(?:(?:0[13578]|1[02])-(?:0[1-9]|[12]\\d|3[01])|(?:0[469]|11)-(?:0[1-9]|[12]\\d|30)|(?:02)-(?:0[1-9]|1\\d|2[0-8])))$",
+    "type": "string"
+  },
+  {
+    "type": "null"
+  }
+]

changedOutput schema / properties / evidence / properties / requested_scope / properties / end_date / anyOf

Previous value: -[
-  {
-    "format": "date",
-    "type": "string"
-  },
-  {
-    "type": "null"
-  }
-]New value: +[
+  {
+    "format": "date",
+    "pattern": "^(?:(?:\\d\\d[2468][048]|\\d\\d[13579][26]|\\d\\d0[48]|[02468][048]00|[13579][26]00)-02-29|\\d{4}-(?:(?:0[13578]|1[02])-(?:0[1-9]|[12]\\d|3[01])|(?:0[469]|11)-(?:0[1-9]|[12]\\d|30)|(?:02)-(?:0[1-9]|1\\d|2[0-8])))$",
+    "type": "string"
+  },
+  {
+    "type": "null"
+  }
+]

addedOutput schema / properties / evidence / properties / requested_scope / properties / filters / propertyNames
```
Added value: +{
+  "type": "string"
+}
```
removedOutput schema / properties / evidence / properties / requested_scope / properties / group_by / items / $ref
```
Removed value: -"#/properties/evidence/properties/tool"
```
addedOutput schema / properties / evidence / properties / requested_scope / properties / group_by / items / maxLength
```
Added value: +128
```
addedOutput schema / properties / evidence / properties / requested_scope / properties / group_by / items / minLength
```
Added value: +1
```
addedOutput schema / properties / evidence / properties / requested_scope / properties / group_by / items / type
```
Added value: +"string"
```
removedOutput schema / properties / evidence / properties / requested_scope / properties / sort / items / properties / field / $ref
```
Removed value: -"#/properties/evidence/properties/tool"
```
addedOutput schema / properties / evidence / properties / requested_scope / properties / sort / items / properties / field / maxLength
```
Added value: +128
```
addedOutput schema / properties / evidence / properties / requested_scope / properties / sort / items / properties / field / minLength
```
Added value: +1
```
addedOutput schema / properties / evidence / properties / requested_scope / properties / sort / items / properties / field / type
```
Added value: +"string"
```

changedOutput schema / properties / evidence / properties / requested_scope / properties / start_date / anyOf

Previous value: -[
-  {
-    "format": "date",
-    "type": "string"
-  },
-  {
-    "type": "null"
-  }
-]New value: +[
+  {
+    "format": "date",
+    "pattern": "^(?:(?:\\d\\d[2468][048]|\\d\\d[13579][26]|\\d\\d0[48]|[02468][048]00|[13579][26]00)-02-29|\\d{4}-(?:(?:0[13578]|1[02])-(?:0[1-9]|[12]\\d|3[01])|(?:0[469]|11)-(?:0[1-9]|[12]\\d|30)|(?:02)-(?:0[1-9]|1\\d|2[0-8])))$",
+    "type": "string"
+  },
+  {
+    "type": "null"
+  }
+]

Changed2 schema fields changedOct 28, 2026

changedInput schema / properties / end_date / description

Previous value: -"Optional. YYYY-MM-DD end date for week range. Defaults to today if omitted."New value: +"Optional. YYYY-MM-DD end date for week range. The range may span at most 366 days. Defaults to today if omitted."

changedInput schema / properties / start_date / description

Previous value: -"Optional. YYYY-MM-DD start date for week range. Defaults to 30 days ago if omitted."New value: +"Optional. YYYY-MM-DD start date for week range. The range may span at most 366 days. Defaults to 30 days ago if omitted."

Changed2 schema fields changedOct 27, 2026

changedInput schema / properties / include_diagnostics / description

Previous value: -"True may add expanded freshness diagnostics. Basic empty-result data-window diagnostics are included by default when available."New value: +"True enables expanded freshness diagnostics. Where supported, snapshot_capture_at and snapshot_data_through_date are populated only when include_diagnostics=true, in both compact and full-row modes; values may still be null if source data is unavailable. Default false. Basic empty-result data-window diagnostics are included by default when available."

changedInput schema / properties / include_raw_rows / description

Previous value: -"False returns compact rows. Default true."New value: +"For tabular results, false returns compact rows capped at MCP_TEXT_ROW_PREVIEW_LIMIT (default 10), regardless of limit. Complete-page and custom non-tabular responses may ignore this option; see tool-specific notes. Default true; large full-row responses are capped separately. Freshness fields require include_diagnostics=true in either row mode, where supported."

Changed5 schema fields changedOct 27, 2026

changedOutput schema / properties / evidence / properties / basis / properties / date / items / enum

Previous value: -[
-  "order_date",
-  "reporting_date",
-  "click_attribution_date",
-  "posted_date",
-  "settlement_date",
-  "snapshot_date",
-  "live_observation_time",
-  "event_time",
-  "effective_date",
-  "not_applicable",
-  "not_reported"
-]New value: +[
+  "order_date",
+  "reporting_date",
+  "click_attribution_date",
+  "posted_date",
+  "financial_event_group_start",
+  "settlement_date",
+  "snapshot_date",
+  "live_observation_time",
+  "event_time",
+  "effective_date",
+  "not_applicable",
+  "not_reported"
+]

changedOutput schema / properties / evidence / properties / entity_types / items / enum

Previous value: -[
-  "account",
-  "marketplace",
-  "product",
-  "variation_family",
-  "listing",
-  "offer",
-  "inventory_item",
-  "fulfillment_center",
-  "order",
-  "order_item",
-  "campaign",
-  "ad_group",
-  "ad",
-  "target",
-  "keyword",
-  "search_query",
-  "portfolio",
-  "store",
-  "audience_segment",
-  "dsp_advertiser",
-  "shipment",
-  "inbound_plan",
-  "fulfillment_operation",
-  "transaction",
-  "settlement",
-  "financial_event",
-  "return",
-  "reimbursement",
-  "promotion",
-  "review",
-  "catalog_definition",
-  "audit_event",
-  "not_applicable"
-]New value: +[
+  "account",
+  "marketplace",
+  "product",
+  "variation_family",
+  "listing",
+  "offer",
+  "inventory_item",
+  "fulfillment_center",
+  "order",
+  "order_item",
+  "campaign",
+  "ad_group",
+  "ad",
+  "target",
+  "keyword",
+  "search_query",
+  "portfolio",
+  "store",
+  "audience_segment",
+  "dsp_advertiser",
+  "shipment",
+  "inbound_plan",
+  "fulfillment_operation",
+  "transaction",
+  "settlement",
+  "financial_event",
+  "financial_event_group",
+  "return",
+  "reimbursement",
+  "promotion",
+  "review",
+  "catalog_definition",
+  "audit_event",
+  "not_applicable"
+]

changedOutput schema / properties / evidence / properties / join_keys / items / properties / entity_type / enum

Previous value: -[
-  "account",
-  "marketplace",
-  "product",
-  "variation_family",
-  "listing",
-  "offer",
-  "inventory_item",
-  "fulfillment_center",
-  "order",
-  "order_item",
-  "campaign",
-  "ad_group",
-  "ad",
-  "target",
-  "keyword",
-  "search_query",
-  "portfolio",
-  "store",
-  "audience_segment",
-  "dsp_advertiser",
-  "shipment",
-  "inbound_plan",
-  "fulfillment_operation",
-  "transaction",
-  "settlement",
-  "financial_event",
-  "return",
-  "reimbursement",
-  "promotion",
-  "review",
-  "catalog_definition",
-  "audit_event",
-  "not_applicable"
-]New value: +[
+  "account",
+  "marketplace",
+  "product",
+  "variation_family",
+  "listing",
+  "offer",
+  "inventory_item",
+  "fulfillment_center",
+  "order",
+  "order_item",
+  "campaign",
+  "ad_group",
+  "ad",
+  "target",
+  "keyword",
+  "search_query",
+  "portfolio",
+  "store",
+  "audience_segment",
+  "dsp_advertiser",
+  "shipment",
+  "inbound_plan",
+  "fulfillment_operation",
+  "transaction",
+  "settlement",
+  "financial_event",
+  "financial_event_group",
+  "return",
+  "reimbursement",
+  "promotion",
+  "review",
+  "catalog_definition",
+  "audit_event",
+  "not_applicable"
+]

changedOutput schema / properties / evidence / properties / join_keys / items / properties / role / enum

Previous value: -[
-  "account_id",
-  "marketplace_id",
-  "asin",
-  "advertised_asin",
-  "purchased_asin",
-  "child_asin",
-  "parent_asin",
-  "seller_sku",
-  "fnsku",
-  "order_id",
-  "order_item_id",
-  "campaign_id",
-  "ad_group_id",
-  "ad_id",
-  "target_id",
-  "keyword_id",
-  "search_query",
-  "portfolio_id",
-  "shipment_id",
-  "inbound_plan_id",
-  "operation_id",
-  "transaction_id",
-  "settlement_id",
-  "promotion_id",
-  "not_applicable"
-]New value: +[
+  "account_id",
+  "marketplace_id",
+  "asin",
+  "advertised_asin",
+  "purchased_asin",
+  "child_asin",
+  "parent_asin",
+  "seller_sku",
+  "fnsku",
+  "order_id",
+  "order_item_id",
+  "campaign_id",
+  "ad_group_id",
+  "ad_id",
+  "target_id",
+  "keyword_id",
+  "search_query",
+  "portfolio_id",
+  "shipment_id",
+  "inbound_plan_id",
+  "operation_id",
+  "transaction_id",
+  "financial_event_group_id",
+  "settlement_id",
+  "promotion_id",
+  "not_applicable"
+]

changedOutput schema / properties / evidence / properties / metric_families / items / enum

Previous value: -[
-  "sales",
-  "traffic",
-  "advertising",
-  "inventory",
-  "returns",
-  "reimbursements",
-  "fees",
-  "profitability",
-  "catalog",
-  "rank",
-  "fulfillment",
-  "pricing",
-  "promotions",
-  "reviews",
-  "audit",
-  "availability",
-  "not_applicable"
-]New value: +[
+  "sales",
+  "traffic",
+  "advertising",
+  "inventory",
+  "returns",
+  "reimbursements",
+  "payouts",
+  "fees",
+  "profitability",
+  "catalog",
+  "rank",
+  "fulfillment",
+  "pricing",
+  "promotions",
+  "reviews",
+  "audit",
+  "availability",
+  "not_applicable"
+]

AddedOct 7, 2026

TDQS

A4.4/5.0

Behavior5/5

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

Annotations already mark this read-only and non-destructive, and the description goes well beyond them: it discloses that cadence varies by billing tier rather than being weekly, that historical windows can expand during backfill, that Amazon source reports cap at 100 queries per ASIN/period while this tool imposes no such row cap, and that pagination covers stored rows rather than exhaustive Amazon coverage. The enumeration of funnel_stage labels further tells the agent what the derived output means.

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 core purpose is front-loaded, but the opening sentence is an overlong run-on that crams ten metric names with 'and ... and ...' chaining. The caveats (cadence, backfill, 100-query cap, pagination) are valuable but compressed into undifferentiated prose that an agent must parse carefully to separate limits from capabilities.

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?

Given 11 optional params, a rich output schema, and an open-world data dependency, the description covers the essentials an agent needs: what is returned, how to interpret the funnel_stage outcome, the known coverage caveats, and which sibling to use for adjacent ad data. Freshness/pagination fields are covered by the output schema and the include_diagnostics parameter, so nothing material is left for the description to carry.

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

Parameters2/5

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

Schema description coverage is 100%, so all 11 parameters are already documented in the schema, and the description adds essentially no parameter-level meaning beyond noting that pagination is over stored rows. It never mentions the asin/search_query filters, min_volume, sort fields, or date-range defaults that are the primary levers for steering this query.

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+resource: 'Returns Brand Analytics SQP weekly market search query volume plus your ASIN's full per-query funnel', then enumerates the funnel metrics (impressions, clicks, cart adds, purchases, shares, CR delta, funnel_stage). It explicitly distinguishes itself from ad-side siblings by naming get_search_terms and get_keyword_performance as the tools for ad-driven search terms.

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?

Gives a concrete diagnostic use case: 'Use it to tell no impressions apart from impressions but no clicks for a query/ASIN', which tells the agent exactly what question this tool answers. It also names the exclusion boundary ('Does not include ad spend/ACOS...') and redirects to the two correct alternatives for that data.

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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