Skip to main content
Glama

twitter-x-aio

Tweets and Replies by userId

get_user_userId_tweetsAndReplies

Receive all tweets and replies ordered by most recent. You can use the cursor and count to navigate around. Group: User. Billing per call: 1 Credits.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
countNoThe default count is 20. You can specify a custom one here.
cursorNoAt the end of the entries array you'll find two objects with the type TimelineTimelineCursor. There is one cursor to go up (Top) and one for going down (bottom) the list.
userIdYes
usernameNoIf you provide a username value it will automatically be picked and the userId is ignored

TDQS

A3.5/5.0
Behavior3/5

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

No annotations are provided, so the description carries the full burden. It indicates a read-like operation ('Receive') and provides navigation details, but it does not disclose other behavioral aspects such as response format, error handling, or authentication requirements. The mention of billing per call and group adds some context, but overall transparency is average for a simple fetch tool.

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 extremely concise, with two sentences covering the main function and navigation. It is front-loaded with the primary purpose and includes only essential extra details (Group, Billing). No wasted words or repetition, earning full marks for conciseness.

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?

For a simple paginated fetch tool, the description gives the core functionality and navigation hints, but it does not explain the response structure (e.g., cursor objects in the entries array) or how to initiate pagination. The schema's cursor description fills some gaps, but the tool description itself lacks sufficient detail for an agent to fully understand the output and pagination workflow.

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 input schema covers 75% of parameters with descriptions (count, cursor, username), and the description summarizes cursor and count usage but does not add new meaning beyond what the schema provides. Since schema coverage is high, the baseline is 3, and the description offers no substantial additional semantic value.

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 clearly states the tool returns all tweets and replies ordered by most recent, and specifies the resource (tweets and replies) and action (receive). While it doesn't explicitly contrast with sibling tools like get_user_userId_tweets, the inclusion of 'replies' makes the purpose distinct enough. The description is concise and unambiguous.

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 usage for retrieving tweets and replies for a user, and mentions navigation via cursor and count, but it does not provide explicit guidance on when to choose this tool over alternatives or when not to use it. It lacks exclusions or direct references to sibling tools, so the guidance is only implicit.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

TDQS

C2.5/5.0
Disambiguation3/5

Most tools target distinct data types, but there is notable overlap: get_search_searchTerm vs post_search_searchTerm and get_tweet_tweetId vs post_tweet_tweetId are functional duplicates, and the three followings variants (get_user_userId_followings, _basic, _ids) have unclear boundaries. This creates ambiguity for an agent trying to select the right tool.

Naming Consistency2/5

Tool names mix HTTP method prefixes (get_, post_) with resource_parameter structures, and camelCase is embedded in parameters (searchTerm, tweetId, tweetsAndReplies). The pattern is not uniform (e.g., get_user_by_username_username vs get_user_usernames_to_ids), making the naming feel ad hoc and hard to predict.

Tool Count3/5

With 23 tools, the set is on the heavier side. Many tools are redundant (GET/POST duplicates) or overly granular (three followings endpoints), padding the count without adding distinct capabilities. A leaner set of 15-18 tools would be more appropriate for the read-only Twitter data scope.

Completeness4/5

The server covers the core read-only Twitter data surface well: user info, tweets, media, followers/followings, likes, search, trends, and miscellaneous utilities. The only notable gap is the lack of a direct endpoint for listing a user's followers' details (though that could be composed), and no ability to post or interact, which aligns with the apparent purpose.

Resources