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Agent Data Tools: Web and documents

summarize

Give a URL, get a short summary of the page plus three to six key points, ready to drop into an agent's context. Fetches the page, strips navigation and boilerplate, and summarizes the main text with an LLM. Use for research, news triage, link previews and deciding whether a page is worth reading in full. Costs $0.01 in USDC on Base per successful call, paid with x402.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYesAbsolute http(s) URL of the page to summarize

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.3/5.0
Behavior4/5

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

Discloses behavior beyond the annotations: it fetches the page, strips navigation/boilerplate, and summarizes with an LLM. Critically it surfaces the payment requirement ($0.01 USDC on Base via x402), a cost/auth detail no annotation conveys and which helps explain the readOnlyHint=false. It does not describe latency, failure, or rate-limit behavior.

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?

Four tight sentences, front-loaded with the outcome ('Give a URL, get...') before mechanism, use cases, and cost. Every sentence adds distinct information with no redundancy.

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?

No output schema exists, so the description appropriately describes the return value (summary + 3-6 key points). With one required parameter and disclosed cost/processing, an agent has everything needed to invoke it correctly.

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 100% with a single well-documented 'url' parameter, so the schema already carries the semantics. The description only restates 'Give a URL' without adding format or constraint detail (e.g. supported content types), so the baseline 3 applies.

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?

States a concrete verb+resource (summarize a URL/page) and specifies the deliverable shape: a short summary plus three to six key points. An agent immediately understands the input (a URL) and the output, and the operation is distinct from the fetch/extract-style siblings even though none is named.

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?

Explicitly lists intended contexts ('research, news triage, link previews and deciding whether a page is worth reading in full'), which gives clear when-to-use guidance. It stops short of naming an alternative tool or stating when NOT to use it (e.g. vs extract), so it is not a full 5.

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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