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navigate

Navigate web pages with full JavaScript execution, auto-extract structured data from HTML, and bypass Reddit proof-of-work challenges.

Instructions

Fetch a URL with Chrome-fingerprinted HTTP using the active profile. Parses HTML, seeds the JS DOM, returns BlockMap inline. With exec_scripts: true, extracts inline AND external tags from the parsed HTML, fetches externals in parallel (8s per-fetch timeout), eval's them in document order in QuickJS (with shims for setTimeout/fetch/etc.), then settles the event loop and fires DOMContentLoaded + load. <script async> is honored: async scripts execute after the sync queue. When --policy=blocklist is set, tracker URLs are blocked at script-fetch time (see scripts.policy_blocked in the result). Returns a scripts summary with inline_count, external_count, async_count, policy_blocked, executed, errors.

Auto-extract: when the page embeds JSON-bearing tags (density.json_scripts > 0 — covers application/json, application/ld+json, text/x-magento-init, text/x-shopify-app, etc.), navigate auto-runs extract() and returns the result as the extract field. Saves a round trip on the common case where the data the JS would have rendered is already sitting in the HTML — JSON-LD article schemas on news sites, NEXT_DATA page state on Next.js apps, json_in_script product blobs on Magento/Shopify, GitHub RSC payloads, etc. Capped at 256 KB inline; over that limit extract returns a stub with strategy/confidence/size_bytes/hint and the agent should call extract() explicitly to retrieve the full payload. Pages with no embedded JSON get extract:null and pay zero extra cost.

Tool advice: navigate also returns tool_likelihoods plus tool_recommendations, derived from concrete page signals (structure/headings, selector hints, density, embedded data, network captures, challenge state, and script pathology) so agents can pick the next tool without guessing.

Auto-solve: Reddit's JS proof-of-work challenge (provider: reddit_js_challenge) is transparently solved — the challenge is detected, the GET solution URL is computed (solution = hex_value + hex_value), and the real page is returned in one navigate call. challenge:null on the result means the real page was served. Subsequent navigations in the same session carry the clearance cookie and skip the challenge entirely.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
exec_scriptsNoRun page <script> tags (inline + external src) after parse, settle the event loop, and fire DOMContentLoaded + load. Default false.
urlYesAbsolute URL to fetch
Behavior5/5

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

Without annotations, the description fully discloses behaviors: script execution details (including async handling and blocking), auto-extraction limits and fallback, auto-solving of Reddit challenge, and return of tool recommendations. This exceeds typical transparency requirements.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is verbose and spans multiple paragraphs. While informative, it could be more concise without losing essential details. The core purpose is front-loaded, but the length may hinder quick scanning.

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?

Given the lack of an output schema, the description covers all critical aspects including return fields, edge cases like JSON extraction limits, and challenge solving. It provides a complete picture of the tool's behavior and outputs.

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?

Schema coverage is 100% with descriptions for both parameters. The description adds extensive context beyond the schema, especially for 'exec_scripts' explaining the full execution pipeline. This provides significant added value.

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 that navigate fetches a URL, parses HTML, seeds JS DOM, and returns BlockMap inline. It distinguishes itself from sibling tools by detailing unique features like script execution, auto-extraction of embedded JSON, and automatic solving of Reddit JS challenges, making the purpose very specific and comprehensive.

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 includes 'tool advice' noting that navigate returns tool_likelihoods and recommendations to guide next actions, and explains when auto-extraction saves a round trip. However, it lacks explicit statements about when NOT to use navigate versus alternatives like direct extract calls, so there is room for improvement.

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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