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CSOAI-ORG

Web Research MCP Server

autonomous_research

Conduct multi-step research on any topic by automatically searching and extracting information from multiple web pages.

Instructions

Run an autonomous multi-step research loop on a topic.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
topicYes
depthNo
api_keyNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

No annotations provided. The description does not disclose side effects, API key usage, or what actions the autonomous loop performs (e.g., browsing, scraping). The agent is left uninformed about the tool's behavior beyond the name.

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—concise but under-informative. It lacks structure and omits crucial details, so it is not appropriately sized for the tool's complexity.

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?

Despite having an output schema, the description fails to provide adequate context for a multi-step autonomous research tool. It omits workflow, prerequisites (e.g., API key authentication), and expected outcome, leaving the agent with significant ambiguity.

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

Parameters2/5

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

Schema description coverage is 0%. The description adds no context for the three parameters: 'topic', 'depth', and 'api_key'. The meaning of 'depth' (number of iterations? scope?) and the role of 'api_key' remain undefined, placing high burden on the schema which provides no description.

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 uses a clear verb ('Run') and identifies the resource ('autonomous multi-step research loop'). However, it does not distinguish this tool from siblings like 'deep_research' or 'research_topic', which may also involve research loops.

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 explicit guidance on when to use this tool versus alternatives. The description lacks context for when a multi-step research loop is appropriate compared to a single search or simple extraction.

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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