Get news headlines
get_news_headlinesRecent market news headlines (X/Twitter firehose, priority-ranked). Filter by symbol or lookback hours. (Requires api:read.)
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| hours | No | ||
| limit | No | ||
| symbol | No | ||
| priority | No |
get_news_headlinesRecent market news headlines (X/Twitter firehose, priority-ranked). Filter by symbol or lookback hours. (Requires api:read.)
| Name | Required | Description | Default |
|---|---|---|---|
| hours | No | ||
| limit | No | ||
| symbol | No | ||
| priority | No |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnly/openWorld/idempotent, so the bar is lower, yet the description still adds real context: the data source (X/Twitter firehose), that results are priority-ranked, and the api:read scope requirement. It stops short of explaining what 'priority-ranked' means operationally or whether results are truncated.
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?
Three short clauses with the resource and source front-loaded; no filler. Slightly clipped to the point that 'priority-ranked' and the parenthetical auth note read as unexplained fragments.
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?
With no output schema, the description should hint at the return shape (headline objects? source attribution?) and it does not. Combined with 0% parameter coverage and no sibling differentiation, it is adequate but leaves meaningful gaps for a 4-parameter read tool.
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 description coverage is 0%, so the description must carry semantic weight; it explains symbol filtering and lookback hours but says nothing about the `limit` cap or the `priority` parameter's 1-2 range. Two of four parameters remain semantically opaque.
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?
States a specific verb+resource ('Recent market news headlines') and adds source/ranking context (X/Twitter firehose, priority-ranked). However, it never distinguishes itself from the nearby siblings get_news_feed and get_opportunity_news, so an agent cannot tell which news tool to pick without opening schemas.
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?
'Filter by symbol or lookback hours' implies the two main usage modes, so an agent can infer how to narrow results. But there is no when-to-use versus get_news_feed / get_opportunity_news, and no statement of defaults or exclusions, leaving routing to inference.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.