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crawl_site

Crawl a site and get clean markdown for every page in one synchronous call (no polling). Same-host BFS with depth and page-budget limits, robots.txt honoured by default. Price: $0.0015 per requested page (1-25) — you are billed for the requested budget, not the pages returned

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYesStart URL — the crawl stays on this host
limitNoPage budget (1-25, default: 10) — charged per requested page
excludeNoSkip URLs whose path+query contains one of these substrings
includeNoOnly crawl URLs whose path+query contains one of these substrings
timeoutNoPer-page timeout in ms (default 10000)
maxCharsNoPer-page content character cap (default 8000)
maxDepthNoLink depth from the start URL (0-3, default: 2)
respectRobotsNoHonour robots.txt (default: true; disable only for sites you control)

TDQS

A4.4/5.0
Behavior4/5

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

With no annotations provided, the description carries the full burden. It discloses synchronous behavior (no polling), same-host BFS, depth/budget limits, robots.txt honoring, and a unique billing model where the requested budget is charged regardless of returned pages. This goes well beyond a simple 'crawl a site' statement, though it does not cover error handling or authentication needs.

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 concise and front-loaded with the primary action. It conveys essential behavioral and pricing information in two sentences without redundancy. Every clause adds value.

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

Completeness4/5

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

For a tool with 8 parameters and no output schema, the description adequately covers core behavior, limits, billing, and robots.txt. It does not describe the output structure beyond 'clean markdown', but the overview is sufficient for an agent to select and invoke the tool correctly in most scenarios.

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

Parameters4/5

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

The schema already has 100% parameter coverage, but the description adds meaningful interpretation: 'page-budget limits' connects to limit and billing, 'depth' relates to maxDepth, and 'robots.txt honoured by default' clarifies respectRobots. It also explains the cost implication of limit, which is not evident from the schema alone.

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 crawls a site and returns clean markdown for every page, with specific details like synchronous execution, same-host BFS, depth and page-budget limits, and robots.txt handling. This distinguishes it from sibling tools like fetch_webpage (single page) or map_site (URL discovery only).

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 clear context on when to use the tool (for crawling an entire site in one synchronous call) and mentions constraints like page budget and robots.txt. It does not explicitly name alternative tools or state when not to use it, but the scope (site-wide crawl) implicitly differentiates it from single-page fetchers.

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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TDQS

B3.2/5.0
Disambiguation2/5

Several tool clusters have near-overlapping purposes: fetch_webpage/fetch_webpage_pro/fetch_resilient and batch_fetch/get_contents are hard to distinguish, and answer_question/research/deep_research differ mainly in price and depth. The search_* and intel_* families are clearer, but the core fetching and research overlap creates ambiguity.

Naming Consistency3/5

Most tools follow a verb_noun snake_case pattern (fetch_webpage, search_web, extract_data), but there are notable exceptions like domain_intel, package_intel, youtube_transcript, memory_set, and intel_company, where the prefix/suffix convention is inconsistent. Still, the naming is broadly readable.

Tool Count2/5

35 tools is a large surface, far beyond the typical 3-15 range. The server covers many research verticals, but the number feels bloated, especially with multiple fetch and research variants that could be consolidated.

Completeness4/5

The tool set covers a wide range of web research needs: searching, fetching, crawling, extracting, screenshots, domain/tech/package intelligence, and market/competitive analysis. It lacks obvious lifecycle operations for monitors (list/delete/update) and memory (get/delete), but core workflows are well covered.