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superagents-lab

Search1API MCP Server

by superagents-lab
OverviewSchemaRelated ServersScoreDiscussions
TypeScript
Remote

Discover links on a site

sitemap
Read-only

Discover related public links from a page or domain to map a site's structure and available pages. Use it to explore website navigation and uncover additional URLs.

Instructions

Discover related public links from a page or domain when the user wants to explore a site's structure or available pages.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYesPublic page or domain URL whose links should be discovered

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
linksYes

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. Changed3 schema fields changedv0.4.0
    • changedInput schema / properties / url / description
      Previous value: -"URL to get sitemap"New value: +"Public page or domain URL whose links should be discovered"
    • addedInput schema / properties / url / format
      Added value: +"uri"
    • changedOutput schema / (root)
      Previous value: -nullNew value: +{
+  "properties": {
+    "links": {
+      "items": {
+        "format": "uri",
+        "type": "string"
+      },
+      "type": "array"
+    }
+  },
+  "required": [
+    "links"
+  ],
+  "type": "object"
+}
  2. First observedv0.1.8

TDQS

A4.1/5.0
Behavior4/5

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

The description aligns with annotations (readOnlyHint, openWorldHint) and adds context about discovering related public links, enhancing understanding of the tool's read-only, open-world behavior.

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 efficiently conveys the action and usage context without unnecessary words.

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?

While the description covers the basic purpose, it lacks specificity about the scope of link discovery (e.g., same domain only, depth), leaving some ambiguity for a tool with a simple interface.

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?

The input schema already covers the parameter description completely (100% coverage), so the tool description adds no additional parameter semantics beyond what the schema 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 clearly states the tool discovers related public links and specifies the context of exploring a site's structure or available pages, distinguishing it from sibling tools like search or fetch.

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 provides a clear use case ('when the user wants to explore a site's structure or available pages') but does not explicitly mention when not to use it or suggest alternatives.

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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