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wavexis_scrape

Read-onlyIdempotent

Scrape data from multiple URLs by evaluating a JavaScript expression on each page. Supports pagination and returns results in JSON or CSV format.

Instructions

Scrape data from multiple URLs by evaluating a JS expression on each.

Use wavexis_eval for single-page evaluation, or wavexis_scrape when the same expression must run across many pages with pagination.

Side effects: launches/acquires a browser backend, navigates to each URL in urls sequentially, evaluates expression in every page context. Returns: JSON string with keys: 'status' ('ok'/'error'), 'results' (list[dict[str, Any]]), 'format' (str), 'count' (int), 'total' (int).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
inputYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false. The description adds beyond that: 'Side effects: launches/acquires a browser backend, navigates to each URL sequentially, evaluates expression in every page context.' It also describes the return JSON structure, providing useful behavioral context.

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 two paragraphs, first sentence defines purpose, second provides usage guidance and side effects. Every sentence adds value, no fluff. Well-structured and appropriately sized.

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?

Given the complexity (multiple URLs, browser backend) and rich input schema with 9 parameters, the description covers the overall behavior, return format, and side effects. It lacks explanation of some parameters like backend or selector, but those are described in the schema. It is mostly complete.

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% according to context, but actually the schema has descriptions for each parameter. The tool description does not add any additional parameter-level detail beyond what's already in the schema. Baseline is 3 due to schema coverage, and description adds no extra semantic 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 'Scrape data from multiple URLs by evaluating a JS expression on each.' It uses specific verb (scrape) and resource (data from URLs), and distinguishes from sibling wavexis_eval by noting it's for single-page evaluation.

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 explicitly says when to use this tool vs wavexis_eval: 'Use wavexis_eval for single-page evaluation, or wavexis_scrape when the same expression must run across many pages with pagination.' It provides clear context but does not mention when not to use it beyond that.

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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