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Gemini MCP Server

Gemini MCP Server

by salviz
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gemini_summarize

Summarize lengthy content using Gemini, choosing from brief, detailed, or bullet-point styles for tailored output.

Instructions

Summarize long text using Gemini with configurable summary style

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "text": "<text>"
    },
    "name": "gemini_summarize"
  }
}

Input Schema

NameRequiredDescriptionDefault
textYesThe text to summarize
modelNoModel to use (default: gemini-3.1-pro-preview)
styleNoSummary style: brief, detailed, bullet-points (default: brief)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv2.0.0

TDQS

A3.5/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full burden. It only states the basic function without disclosing behaviors such as auth requirements, rate limits, or potential side effects. The term 'summarize' suggests a non-destructive generative operation but lacks explicit clarification.

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 of 8 words, delivering the core purpose without any wasted words. It is front-loaded and efficient.

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 no output schema and three parameters with full coverage, the description is minimally complete for a simple tool but lacks details on return format, error handling, or limitations. It adequately covers the primary function but leaves gaps for a thorough understanding.

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% for all three parameters, so the description adds minimal extra meaning beyond what the schema provides. The phrase 'configurable summary style' aligns with the style parameter but does not enrich understanding of text or model parameters beyond their schema 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 'Summarize' and the resource 'long text using Gemini', distinguishing it from sibling tools like gemini_chat or gemini_deep_research by focusing specifically on summarization with configurable style.

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

Usage Guidelines3/5

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

The description implies usage for summarization of long text, but provides no explicit guidance on when to use this tool versus alternatives, nor any exclusions or conditions for use.

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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