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V2-Digital

V2.ai Insights Scraper MCP

by V2-Digital

get_latest_posts

Retrieve blog posts with metadata from V2.ai Insights for content analysis and AI-powered summarization.

Instructions

Retrieves the latest blog posts with metadata

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Implementation Reference

  • The actual logic for fetching the latest posts via fetch_blog_posts().
    def _get_latest_posts():
        """Retrieves the latest blog posts with metadata"""
        return fetch_blog_posts()
  • The registration of the 'get_latest_posts' tool using @mcp.tool().
    @mcp.tool()
    def get_latest_posts():
        """Retrieves the latest blog posts with metadata"""
        return _get_latest_posts()
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It states it 'retrieves' posts, implying a read-only operation, but doesn't specify aspects like rate limits, authentication needs, pagination, or what 'latest' means (e.g., time frame, sorting). This leaves significant gaps for a tool with no structured safety hints.

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, efficient sentence with no wasted words. It front-loads the key action and resource, making it easy to parse quickly, which is ideal for a simple tool with no parameters.

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?

Given the tool has 0 parameters and no output schema, the description is minimally adequate but incomplete. It lacks details on behavioral traits (e.g., how 'latest' is defined, metadata structure) and doesn't differentiate from siblings, which could confuse an agent in a server with multiple post-related tools.

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

Parameters4/5

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

The input schema has 0 parameters with 100% coverage, so no parameter documentation is needed. The description adds value by specifying 'latest blog posts with metadata', which clarifies the scope and output content beyond what the empty schema provides, earning a baseline score above 3.

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 action ('Retrieves') and resource ('latest blog posts with metadata'), making the purpose understandable. However, it doesn't differentiate from sibling tools like 'get_contentful_posts' or 'search_blogs', which likely retrieve similar content but with different scopes or filters.

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 like 'search_blogs' or 'get_contentful_posts'. It implies usage for retrieving latest posts but doesn't specify contexts, exclusions, or prerequisites, leaving the agent to guess based on tool names alone.

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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