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Polygon-io MCP Server

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list_benzinga_analyst_insights

Retrieve Benzinga analyst insights to analyze stock ratings, firm actions, and date-specific updates for informed investment decisions.

Instructions

List Benzinga analyst insights.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
benzinga_firm_idNo
benzinga_firm_id_any_ofNo
benzinga_firm_id_gtNo
benzinga_firm_id_gteNo
benzinga_firm_id_ltNo
benzinga_firm_id_lteNo
benzinga_rating_idNo
benzinga_rating_id_any_ofNo
benzinga_rating_id_gtNo
benzinga_rating_id_gteNo
benzinga_rating_id_ltNo
benzinga_rating_id_lteNo
dateNo
date_any_ofNo
date_gtNo
date_gteNo
date_ltNo
date_lteNo
firmNo
firm_any_ofNo
firm_gtNo
firm_gteNo
firm_ltNo
firm_lteNo
last_updatedNo
last_updated_any_ofNo
last_updated_gtNo
last_updated_gteNo
last_updated_ltNo
last_updated_lteNo
limitNo
paramsNo
rating_actionNo
rating_action_any_ofNo
rating_action_gtNo
rating_action_gteNo
rating_action_ltNo
rating_action_lteNo
sortNo
tickerNo
ticker_any_ofNo
ticker_gtNo
ticker_gteNo
ticker_ltNo
ticker_lteNo
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 only states the action 'list' without any details on permissions, rate limits, pagination, or response format. For a tool with 45 parameters and no annotations, this is a significant gap in transparency.

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?

The description is a single sentence, which is concise but under-specified. It lacks structure and does not front-load critical information, making it inefficient for understanding the tool's purpose or usage beyond the bare minimum.

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 (45 parameters, 0% schema coverage, no annotations, no output schema), the description is completely inadequate. It does not address behavioral traits, parameter meanings, or output expectations, leaving the agent with insufficient information to use the tool effectively.

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 45 parameters are documented in the schema. The description adds no information about parameters, such as their purposes, relationships, or usage examples. This fails to compensate for the lack of schema documentation.

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 analyst insights' restates the tool name with minimal elaboration, making it a tautology. It specifies the verb 'list' and resource 'Benzinga analyst insights' but lacks detail on scope or differentiation from siblings like 'list_benzinga_analysts' or 'list_benzinga_ratings', 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. The description does not mention any context, prerequisites, or exclusions, and it fails to distinguish this tool from sibling tools like 'list_benzinga_analysts' or 'list_benzinga_ratings', offering no usage direction.

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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