health_check
Verify the operational status of the Twitter MCP server to ensure it can process tweet operations and user interactions.
Instructions
Check the health of the Twitter MCP server
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Verify the operational status of the Twitter MCP server to ensure it can process tweet operations and user interactions.
Check the health of the Twitter MCP server
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries full burden for behavioral disclosure. It states what the tool does but doesn't describe what 'health' means (server status, API availability, rate limit status), what the response format might be, or whether this has any side effects. The description is minimal beyond the basic purpose.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, clear sentence that states the essential purpose without any unnecessary words. It's perfectly front-loaded and wastes no space, making it ideal for quick comprehension.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a zero-parameter diagnostic tool with no output schema, the description provides the basic purpose but lacks important context about what 'health' entails and what information the check returns. It's minimally adequate but leaves significant gaps in understanding the tool's behavior and output.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The tool has zero parameters with 100% schema description coverage, so the schema fully documents the parameter situation. The description appropriately doesn't discuss parameters since none exist, earning a baseline score of 4 for not creating confusion about non-existent parameters.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the action ('Check') and target ('health of the Twitter MCP server'), making the purpose immediately understandable. It doesn't differentiate from siblings, but that's reasonable since this is a unique administrative tool among Twitter API functions.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides no guidance on when to use this tool versus alternatives. It doesn't mention whether this should be used for monitoring, troubleshooting, or as a prerequisite for other operations, nor does it reference any sibling tools.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/ryanmac/agent-twitter-client-mcp'
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