trending_tickers
Tickers currently trending on StockTwits (a retail-attention radar).
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No |
Output Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Tickers currently trending on StockTwits (a retail-attention radar).
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No |
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations provided, so description carries full burden. It states 'currently trending' but lacks details on update frequency, pagination, or data freshness. No contradictions, but basic transparency only.
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?
A single sentence with no fluff, but it omits parameter info. Efficient yet could add a brief note about 'limit' without harming conciseness.
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 tool is simple with one parameter and an output schema, so description doesn't need to explain returns. However, the description lacks detail on the parameter and behavior, making it adequate but not comprehensive.
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?
Schema coverage is 0% (no description for 'limit'), and the description does not mention the parameter. The agent must infer that 'limit' controls count, but explicit guidance is missing.
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 tool returns trending tickers from StockTwits and frames it as a retail-attention radar, which distinguishes it from siblings like wsb_trending or reddit_attention.
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 explicit when-to-use or when-not-to-use guidance. While the description hints at retail attention, it does not compare with alternatives or specify scenarios, leaving the agent to infer usage.
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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