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AndrewEstopinan

Bright Data MCP Server

Trigger a Crawl / Web Scraper job

web_scraper_trigger

Trigger data collection from one or more URLs via Bright Data, returning a snapshot ID to poll for results.

Instructions

Trigger a Bright Data dataset (Web Scraper / Crawl API) collection over one or more URLs. Returns a snapshot_id to poll with web_scraper_get_results. Requires a dataset_id (gd_...) - either passed here or via BRIGHTDATA_DATASET_ID.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlsYesTarget URLs to collect.
dataset_idNoDataset id (gd_...). Defaults to BRIGHTDATA_DATASET_ID.
extra_inputsNoAdvanced: full input objects instead of plain URLs (overrides 'urls').
include_errorsNo
custom_output_fieldsNoPipe-separated output fields, e.g. 'url|markdown'.
Behavior4/5

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

With no annotations, the description carries the transparency burden. It discloses the asynchronous trigger nature, the snapshot_id return contract, and the dataset_id prerequisite/fallback. It does not mention costs, rate limits, or failure modes, but covers the essential behavioral contract for a trigger tool.

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?

Three tightly written sentences front-load the core verb and resource, then add the return/polling contract and the dataset_id requirement. No filler or repetition of schema details.

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?

The tool is a simple async trigger with a required urls array and several optional parameters, and the description explains the most important missing piece: what the caller receives and how to continue via web_scraper_get_results. It could add guidance for extra_inputs or when to choose a specialized web_data_* tool, but the schema plus description is largely sufficient.

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 ~80%, so the baseline is 3. The description adds meaning beyond the schema for dataset_id (argument vs BRIGHTDATA_DATASET_ID fallback) and the overall return contract, but does not elaborate on extra_inputs, include_errors, or custom_output_fields beyond what the schema already states.

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 opens with 'Trigger a Bright Data dataset (Web Scraper / Crawl API) collection over one or more URLs,' which names a specific action and resource. It immediately distinguishes itself from the sibling web_scraper_get_results by stating it returns a snapshot_id to poll with that tool.

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?

It provides clear usage context: the tool triggers a collection and returns a snapshot_id to poll with web_scraper_get_results, plus a note on dataset_id via argument or BRIGHTDATA_DATASET_ID. It does not spell out when to prefer this over the many web_data_* siblings, so it stops short of full exclusion guidance.

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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