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explorium-ai

Explorium AgentSource MCP Server

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by explorium-ai

enrich_businesses_website_changes

Analyze website changes for public companies to reveal content modifications, strategic implications, and marketing shifts with before-and-after text comparisons.

Instructions

Get website changes for public companies.
Returns:
- Website content changes with before and after text comparisons
- Strategic implications of content modifications
- Dates when changes were detected
- Changes in featured products, services, or content
- Shifts in marketing messaging or positioning
- Updates to promotional content and featured items
- Changes in top charts or featured content listings
- Insights into business strategy and market focus

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
keywordsNoList of keywords to search for in website changes
business_idsYesList of Explorium business IDs from match_businesses
Behavior2/5

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

No annotations are provided, and the description does not disclose behavioral traits such as read-only nature, rate limits, or side effects. The agent cannot infer safety or constraints from the description alone.

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?

The description is concise with an initial summary followed by a bulleted list of outputs. It is front-loaded and efficient, though it could include more on usage context without becoming verbose.

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 thoroughly explains the return values, which is helpful given no output schema. However, it lacks guidance on when to invoke the tool and parameter behavior, leaving gaps in overall 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 100% with descriptions for both parameters. The description adds no additional meaning beyond the schema, meeting the baseline but not exceeding it.

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 returns website changes for public companies and lists specific outputs. However, it does not differentiate from sibling 'enrich' tools that may also provide strategic or keyword-related insights, reducing clarity.

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 guidance on when to use this tool versus alternatives like enrich_businesses_website_keywords or enrich_businesses_strategic_insights. Prerequisites or context are not mentioned, leaving the agent to guess.

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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