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UniFuncs

UniFuncs MCP Server

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by UniFuncs

deep-research-create-task

Creates a deep research task that performs automated in-depth web research and analysis. Configure research depth, domain scope, and output style to suit your needs.

Instructions

创建深度研究任务,进行深度的网络信息研究和分析

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
modelNou1
contentYes
max_depthNo
set_publicNo
domain_scopeNo
introductionNo
output_promptNo
push_to_shareNo
important_urlsNo
reference_styleNolink
domain_blacklistNo
generate_summaryNo
important_promptNo
important_keywordsNo
Behavior2/5

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

With no annotations, the description must disclose behavioral traits, but it only states that a task is created and research performed. It does not explain whether it is synchronous, what it returns, side effects, or any required permissions, leaving significant gaps.

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

Conciseness2/5

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

The description is a single sentence, which is concise but severely under-specified for a tool with 14 parameters. It sacrifices essential information for brevity.

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?

Given the tool's complexity (14 parameters, no annotations, no output schema), the description is completely inadequate. It fails to explain return values, usage patterns, or any contextual details needed for correct invocation.

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%, and the description provides no information about any of the 14 parameters. The agent cannot understand the meaning of 'content', 'model', 'max_depth', etc., from the description alone.

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 verb 'create' and resource 'deep research task', with the action of 'in-depth web information research and analysis'. However, it does not differentiate from sibling tools like deep-search-create-task, relying on the name for distinction.

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, nor are any prerequisites or when-not-to-use scenarios mentioned. The agent must infer usage solely from the name and description.

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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