Skip to main content
Glama

web.links

Read-onlyIdempotent

Extract and classify links from one public page or safely crawl up to 10 same-origin pages into an agent-ready site map with page provenance, depth limits, and robots.txt enforcement.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYes
max_depthNo
max_pagesNo
respect_robotsNo
include_externalNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataYesStructured Link and site-map analysis result
metaYes
serviceYes
versionYes
request_idYesUnique request identifier

TDQS

A4.3/5.0
Behavior4/5

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

Annotations already declare read-only, idempotent, and non-destructive behavior. The description adds valuable context: 'safely crawl', 'same-origin' restriction, depth limits, robots.txt enforcement, and page provenance. This goes beyond annotations and clarifies potential surprises (e.g., robots.txt may block pages), with no contradictions.

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?

A single sentence of 28 words that is information-dense without fluff. It front-loads the core action and then adds key features, making it easy to scan and understand.

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

Completeness5/5

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

There is an output schema, so detailed return values are not needed in the description. The description covers the tool's main functionality, constraints, and output concept ('agent-ready site map with page provenance'), making it complete for an agent to invoke properly. Combined with annotations and schema, it fully contextualizes the tool.

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 description coverage is 0%, so the description must compensate. It explicitly connects to max_depth ('depth limits'), max_pages ('up to 10'), and respect_robots ('robots.txt enforcement'), but does not clarify include_external or url semantics directly. Parameter names are self-explanatory, but include_external's behavior is left ambiguous, leaving a gap in compensation.

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 uses a specific verb phrase 'Extract and classify links' and clearly defines the scope (one page or crawl up to 10 same-origin pages into a site map). It distinguishes itself from siblings like web.extract or web.robots-sitemap by focusing on link extraction and classification with crawling capabilities.

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 clearly conveys its use case (extracting/classifying links, crawling same-origin pages) and key constraints (robots.txt enforcement, depth limits). It doesn't explicitly name alternatives or when-not-to-use, but the context is strong enough for an agent to select it appropriately among the sibling tools.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

TDQS

A3.8/5.0
Disambiguation4/5

Tools are grouped into clear domain prefixes (crypto, data, developer, document, research, web) and each tool name describes a specific function; however, a few umbrella tools like web.full-audit and data.contract overlap with their more targeted counterparts, creating minor ambiguity.

Naming Consistency5/5

All tool names follow a consistent pattern: a domain prefix, a dot, and a hyphenated lowercase compound name (e.g., crypto.base-block-inspect, web.seo-audit). This makes naming predictable and easy to scan.

Tool Count1/5

At 63 tools, the surface area is very large and exceeds the 50+ threshold for extreme mismatch. While the tools are organized into six domains, the sheer number makes it difficult for an agent to select efficiently, and some tools are bundled combinations of others.

Completeness5/5

Each domain offers a thorough set of operations: crypto covers address, account, block, contract, events, gas, and transaction inspection; data covers cleaning, conversion, schema, and validation; developer covers code review, dependency/license audits, and test generation; research covers SEC, OFAC, GLEIF, and USAspending; web covers extraction, SEO, security, and performance. No obvious dead ends exist for the read-only/inspection purpose.

Resources