Skip to main content
Glama
6551Team

Twitter MCP Server

by 6551Team

add_twitter_watch

Monitor a Twitter user's activity by adding their username to a tracking list for engagement metrics and follower events.

Instructions

Add a Twitter user to monitoring list.

Args: username: Twitter username to monitor (without @).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
usernameYes
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It states the tool adds a user to a monitoring list but doesn't explain what monitoring entails, whether this is a write operation, if there are rate limits, or what happens on success/failure. This leaves significant gaps for an agent to understand the tool's behavior.

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

Conciseness4/5

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

The description is appropriately brief and front-loaded with the main purpose, followed by parameter details. The two-sentence structure is efficient, though the 'Args:' section could be integrated more smoothly into the flow.

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?

Given the lack of annotations and output schema, the description is incomplete. It doesn't cover what the tool returns, error conditions, or the implications of 'monitoring' (e.g., what data is collected, how it's accessed). For a tool that likely involves ongoing data collection, this is a significant oversight.

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

Parameters4/5

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

The schema has 0% description coverage, but the description compensates by explaining the 'username' parameter as 'Twitter username to monitor (without @)', adding crucial semantic context beyond the schema's basic type information. Since there's only one parameter, this is sufficient for clarity.

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 action ('Add') and resource ('Twitter user to monitoring list'), making the purpose immediately understandable. However, it doesn't explicitly differentiate this tool from its sibling 'get_twitter_watch', which likely retrieves the monitoring list rather than adding to it.

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 provided on when to use this tool versus alternatives like 'get_twitter_watch' or 'delete_twitter_watch'. The description lacks context about prerequisites, such as whether the user must exist or if there are limits to the monitoring list.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/6551Team/opentwitter-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server