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Polygon-io MCP Server

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list_benzinga_news

Retrieve and filter Benzinga news articles by publication date, tickers, channels, tags, authors, or other parameters using the Polygon-io MCP Server.

Instructions

List Benzinga news.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
authorNo
author_any_ofNo
author_gtNo
author_gteNo
author_ltNo
author_lteNo
channelsNo
channels_all_ofNo
channels_any_ofNo
last_updatedNo
last_updated_any_ofNo
last_updated_gtNo
last_updated_gteNo
last_updated_ltNo
last_updated_lteNo
limitNo
paramsNo
publishedNo
published_any_ofNo
published_gtNo
published_gteNo
published_ltNo
published_lteNo
sortNo
tagsNo
tags_all_ofNo
tags_any_ofNo
tickersNo
tickers_all_ofNo
tickers_any_ofNo
Behavior1/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It fails to describe any traits such as whether it's read-only, requires authentication, has rate limits, returns paginated results, or what the output format might be, making it inadequate for a tool with 30 parameters.

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

Conciseness2/5

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

While concise with a single sentence, it's under-specified rather than efficiently informative. The description lacks front-loaded critical details and doesn't earn its place by adding value beyond the tool name, making it ineffective despite its brevity.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness1/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the high complexity (30 parameters, 0% schema coverage, no annotations, no output schema), the description is completely inadequate. It doesn't address behavioral aspects, parameter meanings, or usage context, failing to provide the necessary information for effective tool invocation.

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

Parameters1/5

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

Schema description coverage is 0%, meaning none of the 30 parameters are documented in the schema. The description adds no information about parameters, failing to compensate for the coverage gap or explain what fields like 'author_gt' or 'tickers_any_of' mean, leaving them entirely ambiguous.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose2/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description 'List Benzinga news' restates the tool name with minimal elaboration, making it a tautology. It specifies the resource ('Benzinga news') but lacks a specific verb beyond 'List' and doesn't differentiate from sibling tools like 'list_ticker_news' or other Benzinga-related tools (e.g., 'list_benzinga_analyst_insights'), leaving the purpose vague.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines1/5

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. It doesn't mention any prerequisites, context, or exclusions, nor does it reference sibling tools like 'list_ticker_news' for comparison, leaving the agent with no usage instructions.

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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