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AIsa Web Search & Research

Extract web page content from specified URLs using Tavily Extract.

post_tavily_extract
Read-onlyIdempotent

Fetch clean, parsed content for URLs you already have — from a search result, a sitemap, or a user. urls is required and takes several at once. Returns results[] with url, title, raw_content and images, plus a failed_results[] array — read that one, because a page that could not be fetched is reported there rather than raising an error. Choose format (markdown or text) and extract_depth. Measured at about 1 second for one page. Use this instead of post_tavily_search whenever you can already name the pages; searching for pages you can name costs more and may not return them. For a long list that can wait, post_firecrawl_batch_scrape runs it as a background job. To discover the URLs of a whole site first, use post_tavily_map.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlsYesThe URL or URLs to extract content from. A single URL string and an array of URL strings are both accepted.
queryNoUser intent for reranking extracted content chunks.
formatNoFormat of the extracted web page content.markdown
timeoutNoMaximum time in seconds to wait for URL extraction. If omitted, default timeouts depend on extract_depth: 10 seconds for basic and 30 seconds for advanced.
extract_depthNoDepth of the extraction process.basic
include_usageNoInclude credit usage information in the response.
include_imagesNoInclude a list of images extracted from the URLs.
include_faviconNoInclude the favicon URL for each result.
chunks_per_sourceNoMaximum number of relevant chunks returned per source. Available only when query is provided.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.7/5.0
Behavior5/5

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

Beyond the readOnly/openWorld/idempotent annotations, the description discloses that failed fetches appear in failed_results[] rather than raising an error, warns the agent to read that array, and provides measured latency. This is meaningful behavioral context an agent needs before calling.

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 front-loads the core purpose, then uses bolded array names and short clauses to cover return behavior, failure handling, performance, and sibling alternatives. Every clause earns its place with no filler.

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?

For a read-only extraction tool with a rich output schema, the description provides purpose, response shape, failure semantics, performance expectation, and sibling routing. Nothing needed for correct invocation is missing.

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 100%, so the baseline is 3. The description restates that urls is required and can take several URLs, and points to format and extract_depth, but it does not add much semantic detail beyond the schema's already complete parameter descriptions.

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 explicitly says it fetches clean, parsed content for URLs you already have, naming the specific resource and use case. It is immediately distinguishable from post_tavily_search, post_tavily_map, and post_firecrawl_batch_scrape.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

It gives a clear when-to-use rule ('whenever you can already name the pages'), an explicit alternative to avoid (post_tavily_search), and concrete handoffs to post_firecrawl_batch_scrape for long lists and post_tavily_map for site discovery. This fully routes an agent among siblings.

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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