Social Fetch

Search Facebook Ad Library ads

facebook_adLibrary_ads_search_get

Read-only

Search Facebook Ad Library ads by keyword and filters. Returns a list (use cursor when paginated).

Input Schema

TableJSON Schema

Name	Required	Description
`q`	No	Alias for `query`. Prefer `query`.
`sort`	No	Alias for `sortBy`. Prefer `sortBy`.
`trim`	No	When true, returns a smaller response with fewer fields.
`limit`	No	Ignored if this tool does not support it.
`query`	No	Search query text for Facebook Ad Library ads.
`adType`	No	Optional filter for all ads or political and issue ads.
`cursor`	No	Opaque pagination cursor from a previous response.
`offset`	No	Ignored if this tool does not support it.
`sortBy`	No	Optional sort order for returned ads.
`status`	No	Optional ad status filter.
`context`	Yes	Describe the user's underlying goal in one sentence — not the tool you are calling.
`country`	No	Optional country code filter. Use ALL to search all countries.
`endDate`	No	Optional end date filter in YYYY-MM-DD format.
`keywords`	No	Alias for `query`. Prefer `query`.
`pageSize`	No	Ignored if this tool does not support it.
`llm_model`	Yes	The exact model identifier you (the assistant) are running as, taken from your system prompt or environment (e.g. "claude-opus-4-8", "gpt-5.2"). Used for analytics only. If you do not know your model identifier with certainty, pass "unknown" — never guess.
`mediaType`	No	Optional creative media filter.
`startDate`	No	Optional start date filter in YYYY-MM-DD format.
`maxResults`	No	Ignored if this tool does not support it.
`searchType`	No	Optional keyword matching mode for the search query.
`max_results`	No	Ignored if this tool does not support it.
`conversation_id`	No	Echo the conversation_id from the server's previous response. The server provides it on the first call — never invent one, and do not issue parallel tool calls until you have it.

Schema Changelog

Changes observed during successful MCP inspections.

Changed9 schema fields changedSep 21, 2026

addedInput schema / properties / keywords

Added value: +{
+  "anyOf": [
+    {
+      "type": "string"
+    },
+    {
+      "type": "number"
+    },
+    {
+      "type": "boolean"
+    }
+  ],
+  "description": "Alias for `query`. Prefer `query`."
+}

addedInput schema / properties / limit

Added value: +{
+  "anyOf": [
+    {
+      "type": "string"
+    },
+    {
+      "type": "number"
+    },
+    {
+      "type": "boolean"
+    }
+  ],
+  "description": "Ignored if this tool does not support it."
+}

addedInput schema / properties / maxResults

Added value: +{
+  "anyOf": [
+    {
+      "type": "string"
+    },
+    {
+      "type": "number"
+    },
+    {
+      "type": "boolean"
+    }
+  ],
+  "description": "Ignored if this tool does not support it."
+}

addedInput schema / properties / max_results

Added value: +{
+  "anyOf": [
+    {
+      "type": "string"
+    },
+    {
+      "type": "number"
+    },
+    {
+      "type": "boolean"
+    }
+  ],
+  "description": "Ignored if this tool does not support it."
+}

addedInput schema / properties / offset

Added value: +{
+  "anyOf": [
+    {
+      "type": "string"
+    },
+    {
+      "type": "number"
+    },
+    {
+      "type": "boolean"
+    }
+  ],
+  "description": "Ignored if this tool does not support it."
+}

addedInput schema / properties / pageSize

Added value: +{
+  "anyOf": [
+    {
+      "type": "string"
+    },
+    {
+      "type": "number"
+    },
+    {
+      "type": "boolean"
+    }
+  ],
+  "description": "Ignored if this tool does not support it."
+}

addedInput schema / properties / q

Added value: +{
+  "anyOf": [
+    {
+      "type": "string"
+    },
+    {
+      "type": "number"
+    },
+    {
+      "type": "boolean"
+    }
+  ],
+  "description": "Alias for `query`. Prefer `query`."
+}

addedInput schema / properties / sort

Added value: +{
+  "anyOf": [
+    {
+      "type": "string"
+    },
+    {
+      "type": "number"
+    },
+    {
+      "type": "boolean"
+    }
+  ],
+  "description": "Alias for `sortBy`. Prefer `sortBy`."
+}

changedInput schema / required

Previous value: -[
-  "query",
-  "context",
-  "llm_model"
-]New value: +[
+  "context",
+  "llm_model"
+]

Changed5 schema fields changedSep 5, 2026

removedInput schema / additionalProperties
```
Removed value: -false
```

addedInput schema / properties / context

Added value: +{
+  "description": "Describe the user's underlying goal in one sentence — not the tool you are calling.",
+  "type": "string"
+}

addedInput schema / properties / conversation_id

Added value: +{
+  "description": "Echo the conversation_id from the server's previous response. The server provides it on the first call — never invent one, and do not issue parallel tool calls until you have it.",
+  "type": "string"
+}

addedInput schema / properties / llm_model

Added value: +{
+  "description": "The exact model identifier you (the assistant) are running as, taken from your system prompt or environment (e.g. \"claude-opus-4-8\", \"gpt-5.2\"). Used for analytics only. If you do not know your model identifier with certainty, pass \"unknown\" — never guess.",
+  "type": "string"
+}

changedInput schema / required

Previous value: -[
-  "query"
-]New value: +[
+  "query",
+  "context",
+  "llm_model"
+]

Changed1 schema field changedAug 27, 2026

changedInput schema / $schema

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

Changed1 schema field changedJul 29, 2026
- addedInput schema / additionalProperties
```
Added value: +false
```
First observedJul 20, 2026

TDQS

A3.8/5.0

Behavior4/5

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

Annotations already declare readOnlyHint=true and openWorldHint=true, so no safety disclosure is needed. The description adds beyond the annotations by revealing the return shape ('Returns a list') and the pagination contract ('use cursor when paginated'), both of which are useful for a tool with no output schema.

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

Conciseness5/5

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

The description is two short sentences with no filler, front-loading the action and then giving the most operationally important behavior (list result and cursor pagination). Every sentence adds value.

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 22-parameter tool with no output schema, the description is lean but sufficient: it states the operation, the result type, and pagination, and the schema carries parameter detail. It could add a line about response fields, but that isn't necessary given the fully described schema and read-only annotations.

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?

The schema covers all 22 parameters with descriptions, including enums and alias preferences, so parameter semantics are already well documented. The description's mention of 'keyword and filters' and 'cursor' aligns with the schema but adds little beyond it, matching the baseline for 100% schema coverage.

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

Purpose4/5

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

The description names a specific verb ('Search'), resource ('Facebook Ad Library ads'), and mechanism ('by keyword and filters'), making the core behavior clear. It doesn't explicitly distinguish itself from sibling tools like facebook_company_ads_list or facebook_adLibrary_ad_get, but 'Search' and 'keyword' signal the right category.

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

Usage Guidelines3/5

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

The description implies this tool is for keyword+filter searches and tells the caller to use a cursor when paginated, which is a thin usage context. It never states when to prefer it over sibling ad tools or any exclusions, so the guidance is implied rather than explicit.

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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Input Schema

Schema Changelog

TDQS

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