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online111111

Tavily Search MCP Server

by online111111

tavily_research_create

Create deep research tasks with Tavily, automatically rotating multiple API keys to handle rate limiting.

Instructions

创建 Tavily 深度研究任务。多 API Key 自动轮换。

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
inputYes
modelNo
output_schemaNo
streamNo
citation_formatNonumbered
timeoutNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

With no annotations, the description carries the full burden. It only discloses automatic API key rotation, but fails to mention whether the task is synchronous or asynchronous, resource consumption, or potential side effects.

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

Conciseness3/5

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

Two short sentences are concise and front-loaded with the core purpose. However, the brevity sacrifices essential details, making it less effective than a slightly longer but more informative description.

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

Completeness1/5

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

With 6 parameters, zero schema descriptions, no annotations, and a complex domain (deep research task), the description fails to provide adequate context. It does not explain how to use the tool effectively or what differentiates it from similar tools.

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

Parameters1/5

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

Schema description coverage is 0%, yet the description provides no explanation for any of the 6 parameters (input, model, output_schema, stream, citation_format, timeout). The output schema exists but is not referenced.

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 it creates a Tavily deep research task and mentions automatic API key rotation. The verb 'create' distinguishes it from sibling tools like tavily_research_get (retrieve), but no explicit differentiation from other research 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 on when to use this tool versus alternatives like tavily_search or tavily_crawl. No context about prerequisites or typical use cases.

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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