Social Fetch

List tweets from a Twitter list

twitter_list_tweets_list

Read-only

List recent tweets from members of an X list, by list URL or id. Returns a list (use cursor when paginated).

Input Schema

TableJSON Schema

Name	Required	Description
`url`	No	List permalink or numeric id.
`link`	No	Alias for `url`. Prefer `url`.
`path`	No	Alias for `url`. Prefer `url`.
`trim`	No	Ignored if this tool does not support it.
`limit`	No	Ignored if this tool does not support it.
`cursor`	No	Opaque pagination cursor returned by a previous response.
`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.
`tweetId`	No	Alias for `url`. Prefer `url`.
`pageSize`	No	Ignored if this tool does not support it.
`tweetUrl`	No	Alias for `url`. Prefer `url`.
`tweet_id`	No	Alias for `url`. Prefer `url`.
`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.
`permalink`	No	Alias for `url`. Prefer `url`.
`tweet_url`	No	Alias for `url`. Prefer `url`.
`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.

Changed19 schema fields changedSep 21, 2026

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 / link / anyOf

Added value: +[
+  {
+    "type": "string"
+  },
+  {
+    "type": "number"
+  },
+  {
+    "type": "boolean"
+  }
+]

removedInput schema / properties / link / type
```
Removed value: -"string"
```

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 / path

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

addedInput schema / properties / permalink / anyOf

Added value: +[
+  {
+    "type": "string"
+  },
+  {
+    "type": "number"
+  },
+  {
+    "type": "boolean"
+  }
+]

removedInput schema / properties / permalink / type
```
Removed value: -"string"
```

addedInput schema / properties / trim

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

addedInput schema / properties / tweetId / anyOf

Added value: +[
+  {
+    "type": "string"
+  },
+  {
+    "type": "number"
+  },
+  {
+    "type": "boolean"
+  }
+]

removedInput schema / properties / tweetId / type
```
Removed value: -"string"
```

addedInput schema / properties / tweetUrl / anyOf

Added value: +[
+  {
+    "type": "string"
+  },
+  {
+    "type": "number"
+  },
+  {
+    "type": "boolean"
+  }
+]

removedInput schema / properties / tweetUrl / type
```
Removed value: -"string"
```

addedInput schema / properties / tweet_id / anyOf

Added value: +[
+  {
+    "type": "string"
+  },
+  {
+    "type": "number"
+  },
+  {
+    "type": "boolean"
+  }
+]

removedInput schema / properties / tweet_id / type
```
Removed value: -"string"
```

addedInput schema / properties / tweet_url / anyOf

Added value: +[
+  {
+    "type": "string"
+  },
+  {
+    "type": "number"
+  },
+  {
+    "type": "boolean"
+  }
+]

removedInput schema / properties / tweet_url / type
```
Removed value: -"string"
```

AddedSep 12, 2026

TDQS

A3.7/5.0

Behavior3/5

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

Annotations already declare readOnlyHint=true and openWorldHint=true, so the description only needs to add context beyond that. It discloses that the return value is a list and that pagination uses a cursor, which is useful. Yet it does not explain what 'recent' means in terms of limits, whether other parameters like limit or pageSize are honored, or what fields each returned tweet contains. The added transparency is modest and not fully rich.

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 sentences with zero waste: the first front-loads the purpose and input type; the second gives the return type and pagination key. Every word earns its place, and the structure is easy to scan.

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

Completeness3/5

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

The tool has 18 parameters, many aliases, and no output schema, so the description carries the burden of describing expected output. It states that the result is a list and mentions pagination, but it doesn't specify the shape of list items (e.g., tweet fields), what 'recent' means in count or time, or whether limit/offset parameters are honored. For an agent to invoke and interpret results correctly, these gaps matter.

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%, so the baseline is 3. The description reinforces the main parameter (url/id) with 'by list URL or id' and mentions the cursor for pagination, but it doesn't add deeper meaning beyond the schema. It also doesn't clarify whether the many 'Ignored if this tool does not support it' parameters (limit, pageSize, offset) are supported, so the added value is limited.

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?

The description uses the specific verb 'List' with the resource 'recent tweets from members of an X list' and the identification method 'by list URL or id'. This clearly distinguishes it from sibling tools like twitter_list_members_list (lists members), twitter_list_get (gets the list itself), and twitter_profile_tweets_list (tweets from a single profile).

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 the usage context by stating what the tool does and that input is a list URL or id, and it adds a pagination hint ('use cursor when paginated'). However, it does not explicitly address when to select this tool over alternatives, nor does it mention any exclusions or related sibling tools. The usage 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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List tweets from a Twitter list

Input Schema

Schema Changelog

TDQS

Glama MCP Gateway

Resources