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jackdark425

aigroup-finnhub-mcp

by jackdark425

finnhub_news_sentiment

Fetch company and market news with sentiment analysis. Export large datasets to JSON for financial analysis.

Instructions

Access company news, market news, and sentiment analysis. Supports JSON export for large datasets.. Operations: get_company_news, get_market_news, get_news_sentiment, get_insider_sentiment

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
toNoEnd date in YYYY-MM-DD format (optional)
daysNoNumber of days to fetch
fromNoStart date in YYYY-MM-DD format (optional)
exportNoForce export to JSON file
symbolNoStock symbol
projectNoProject name for saving data
categoryNogeneral
operationYes
Behavior2/5

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

No annotations are provided, so the description must convey behavior. It notes JSON export support but does not disclose side effects, required permissions, or data source reliability. The listed operations suggest read-only actions, but this 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.

Conciseness4/5

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

Two sentences serve the purpose well. The first sentence introduces the tool's scope, and the second lists operations. The double period is a minor formatting issue.

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

Completeness3/5

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

The description covers the tool's news and sentiment domain and mentions JSON export, but lacks guidance on parameter combinations, operation-specific behavior, or output examples. Given no output schema, more detail would improve completeness.

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

Parameters3/5

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

Schema coverage is high (75%), so the description provides marginal additional value. Listing the operations helps contextualize the required 'operation' parameter, but no details are added for other parameters like 'to', 'from', or 'days'.

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

Purpose4/5

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

The description clearly states the tool provides access to company news, market news, and sentiment analysis, listing four specific operations. This differentiates it from siblings like stock fundamentals or technical analysis, but the verb 'access' is somewhat generic.

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

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No explicit guidance on when to use this tool versus alternatives. The description mentions JSON export for large datasets, but lacks context on prerequisites or scenarios where other siblings are more appropriate.

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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