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salviz

Gemini MCP Server

by salviz

gemini_chat

Send a prompt to Gemini and receive a text response. Optionally use search grounding or URL context to enhance answers.

Instructions

Send a prompt to Gemini and get a text response. Optionally enable search grounding or URL context.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
modelNoModel name (default: gemini-3.1-pro-preview)
promptYesThe prompt to send to Gemini
temperatureNoTemperature for generation
enableSearchNoEnable Google Search grounding (default: false)
maxOutputTokensNoMaximum output tokens
enableUrlContextNoEnable URL context processing (default: false)
systemInstructionNoSystem instruction for the model
Behavior3/5

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

No annotations are provided, so the description carries full burden. It mentions optional search grounding and URL context but omits details on rate limits, token handling, or error behavior. Adequate but not thorough.

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 two sentences, front-loaded with the core purpose, and contains no wasted words or redundancies.

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?

With 7 parameters, no output schema, and no annotations, the description is too brief. It does not cover return format, error handling, or usage constraints, leaving gaps for an agent.

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%, so baseline is 3. The description adds meaning for 'enableSearch' and 'enableUrlContext' by naming them, but other parameters like temperature and maxOutputTokens are not explained beyond schema.

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 tool sends a prompt to Gemini and returns a text response, with optional search grounding and URL context. This distinguishes it from siblings like gemini_chat_multi and gemini_chat_with_tools.

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 is provided on when to use this tool versus alternatives. Given many sibling chat tools, explicit usage context is missing.

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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