Social Fetch

Search Threads posts

threads_search_list

Read-only

Search Threads posts by keyword. Returns a list (use cursor when paginated).

Input Schema

TableJSON Schema

Name	Required	Description
`q`	No	Alias for `query`. Prefer `query`.
`trim`	No	Whether to request a smaller response shape when available.
`limit`	No	Ignored if this tool does not support it.
`query`	No	Search query text for public Threads posts.
`offset`	No	Ignored if this tool does not support it.
`context`	Yes	Describe the user's underlying goal in one sentence — not the tool you are calling.
`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.
`startDate`	No	Optional start date filter in YYYY-MM-DD format.
`maxResults`	No	Ignored if this tool does not support it.
`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.

Changed8 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`."
+}

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
```

Changed1 schema field changedJul 29, 2026

changedInput schema / properties / trim / anyOf

Previous value: -[
-  {
-    "type": "string"
-  },
-  {
-    "type": "boolean"
-  }
-]New value: +[
+  {
+    "type": "boolean"
+  },
+  {
+    "enum": [
+      "0",
+      "1",
+      "true",
+      "false"
+    ],
+    "type": "string"
+  }
+]

First observedJul 20, 2026

TDQS

B3.2/5.0

Behavior3/5

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

Annotations already declare readOnlyHint=true and openWorldHint=true, covering the safety and open-world profile. The description adds that the tool returns a list and that pagination uses a cursor, which is useful but shallow; it does not mention rate limits, response fields, or ordering. No contradiction with annotations.

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?

Two short, front-loaded sentences accomplish the task: the first states the purpose and the second states the output shape and pagination behavior. There is no filler or redundant content.

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?

With no output schema, the description should clarify the result structure beyond 'Returns a list,' but it does not. It mentions using a cursor when paginated, yet the input schema contains no cursor parameter and several pagination-related parameters are described only as 'Ignored if this tool does not support it,' leaving an agent unsure how to paginate. The detailed schema entries for required meta-parameters partially compensate, but the overall definition under-specifies a 14-parameter search tool.

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%, and the schema already provides detailed semantics for core parameters like query, context, llm_model, conversation_id, startDate, and endDate. The description adds no parameter-level meaning beyond 'by keyword,' which vaguely maps to the query parameter, so the baseline 3 is appropriate.

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 uses a specific verb ('Search'), a specific resource ('Threads posts'), and a specific method ('by keyword'), making the tool's core purpose immediately clear. It does not explicitly differentiate from sibling tools like threads_profile_posts_list or threads_users_search, so it stops short of a 5.

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?

No guidance is given on when to use this tool versus alternatives such as threads_profile_posts_list (profile-specific posts) or threads_users_search (account search). The only hint, 'use cursor when paginated,' concerns result traversal rather than tool selection, so the when-to-use dimension is essentially unaddressed.

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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Search Threads posts

Input Schema

Schema Changelog

TDQS

Glama MCP Gateway

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