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by flyanima

market_intelligence_aggregator

Aggregate market intelligence for any topic by combining financial data, news analysis, social sentiment, and optional cryptocurrency insights. Get a comprehensive view of market trends and company analysis.

Instructions

Aggregate market intelligence from financial, news, and social sources

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
topicYesMarket topic or company to analyze (e.g., "Apple", "AI market", "cryptocurrency")
includeStockNoInclude stock/financial data
includeNewsNoInclude news analysis
includeSocialNoInclude social media sentiment
includeCryptoNoInclude cryptocurrency data if relevant
Behavior2/5

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

No annotations are provided, and the description lacks details on behavioral traits such as side effects, rate limits, permissions, or output format. It only hints at multi-source aggregation without further elaboration.

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

Conciseness5/5

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

The description is a single sentence with no wasted words, efficiently conveying the core purpose without extraneous information.

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

Completeness2/5

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

Given the complexity of 5 parameters and no output schema, the description fails to explain the aggregated output structure or behavior. It leaves the agent uncertain about what the tool returns.

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 description coverage is 100%, so the baseline is 3. The description reinforces the grouping of parameters by source types but adds no new meaning beyond the schema's parameter descriptions.

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

Purpose5/5

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

The description clearly states the verb 'aggregate' and the resource 'market intelligence from financial, news, and social sources', which is specific and distinguishes it from sibling search tools that target single sources.

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?

The description provides no guidance on when to use this tool versus alternatives. It does not mention scenarios where this tool is preferred or excluded, nor does it reference any sibling tools.

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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