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yokingma

OneSearch MCP Server

by yokingma

one_map

Discover URLs from a starting point by loading a page and extracting links from its HTML. Use this to map out related web pages or build a list of links from any site.

Instructions

Discover URLs from a starting point by loading a page in the browser and extracting links from its HTML.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYesStarting URL for URL discovery
limitNoMaximum number of URLs to return
searchNoOptional search term to filter URLs
includeSubdomainsNoInclude URLs from subdomains in results
Behavior3/5

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

With no annotations, the description carries the full burden of behavioral disclosure. It does disclose the core mechanism—loading a page in the browser and extracting links from its HTML—but it omits important details such as whether the crawl is recursive, whether subdomains are included by default, or any performance/rate implications.

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, front-loaded sentence that immediately conveys the main action and mechanism. It contains no filler, repetition, or unnecessary detail.

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?

The description is minimal but sufficient for a simple one-page link extractor. However, with no output schema, it leaves ambiguity about return format and whether discovery is recursive or limited to the initial page, which is important for a mapping tool with four parameters.

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 the description does not need to add much parameter detail. It simply reinforces 'starting point' for the url parameter and adds no new meaning beyond what the schema already provides.

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 states a specific action: discover URLs from a starting point by loading a page in the browser and extracting HTML links. This clearly distinguishes it from sibling tools like one_extract, one_search, and one_scrape, which focus on other tasks.

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

Usage Guidelines4/5

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

The description gives clear context that this tool is for mapping/discovering URLs from a starting page, which implies when it should be selected. However, it does not explicitly mention alternatives or state when not to use it, so it falls short of a 5.

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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