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URL uptime ping batch

url_uptime_ping_batch
Read-onlyIdempotent

Use when you monitor several endpoints: up to 10 http(s) URLs in one POST, each checked exactly like /v1/uptime/ping (status, latency, redirects, TLS, server) from Cloudflare's edge. Returns the exact paid x402 request for your input (POST /v1/uptime/ping/batch, $0.10 per call), with the response schema and an example; POST that JSON body to the URL with an x402 or MPP client to get the data. Bad input is refused before any charge. For one URL use url_uptime_ping. With a P0 access key (header Authorization: Bearer p0k_…, buy one at https://x402-bazaar-rank.x402-bazaar-rank-worker.workers.dev/keys/buy?usd=5) this tool makes the paid call itself and returns the data, deducting the listed price.

Input Schema

NameRequiredDescriptionDefault
urlsYes1 to 10 URLs; duplicates are removed

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.8/5.0
Behavior5/5

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

Beyond the readOnly/idempotent annotations, it discloses the pricing model ($0.10 per call), that the default return value is an unsigned x402 request payload rather than data, and that passing a P0 key switches the tool to executing the paid call itself with a price deduction. The charge-on-execute behavior is a side effect an agent must know about, and it is stated plainly.

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

Conciseness4/5

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

The trigger condition and the sibling alternative are front-loaded, and every clause adds operational detail (limits, cost, payload return, key mode). The single dense paragraph, including the long key-purchase URL, makes it harder to scan than a segmented version would be.

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?

With no output schema, the description compensates by explaining both possible return shapes (a signed x402 request object containing a schema and example, or direct data when a P0 key is supplied) and what each URL check reports. Nothing needed to call it correctly or interpret the result is missing.

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% and the schema already documents the 1–10 item bounds and duplicate removal, so the schema does the heavy lifting. The description still adds value by constraining entries to http(s) URLs and framing the array as a single batched POST.

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 specific verb and resource (ping up to 10 http(s) URLs in one POST) and pins the per-URL semantics by referencing /v1/uptime/ping (status, latency, redirects, TLS, server). It explicitly distinguishes itself from the sibling url_uptime_ping by naming the single-URL case.

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?

"Use when you monitor several endpoints" gives the selection condition, and "For one URL use url_uptime_ping" names the alternative with its trigger. It also flags the validation behavior (bad input refused before charge) and the two execution modes, so an agent knows which path it is on.

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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