track_metrics
Monitor your Twitter marketing key performance indicators through a centralized dashboard.
Instructions
Dashboard for your Twitter marketing KPIs. PREMIUM feature.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Monitor your Twitter marketing key performance indicators through a centralized dashboard.
Dashboard for your Twitter marketing KPIs. PREMIUM feature.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations provided. The description does not disclose behavioral traits such as read-only nature, data refresh behavior, or whether it returns data or just displays. The term 'dashboard' implies read-only, but it is not explicit.
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?
Very concise with two phrases, no redundant words. Could be improved by forming a complete sentence, but it is appropriately short.
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?
The description lacks details on what specific KPIs are included, how to interpret the dashboard, or any setup required. Given zero parameters and no output schema, more context is needed for an AI to use it effectively.
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?
No parameters exist, so schema coverage is 100%. The description adds no meaning beyond the schema; it could have explained what KPIs are shown but does not. Baseline 3 is appropriate given no 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 it is a dashboard for Twitter marketing KPIs, which is a specific purpose. It distinguishes from sibling tools like 'analyze_account' and 'find_trending' by focusing on a dashboard view.
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?
No guidance on when to use this tool versus alternatives. The 'PREMIUM' label hints at access restrictions but does not clarify use cases or exclusions.
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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curl -X GET 'https://glama.ai/api/mcp/v1/servers/1036007003-wq/twitter-marketing-mcp'
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