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Check a public page (free)

fluxproof_preflight
Read-onlyIdempotent

Fetch a public URL and return fetchability, size, final URL, title, and content hash without page content or payment. How it works: given one public page address, FluxProof fetches it once and says whether it can watch it; nothing is created or charged. Example: {"url":"https://example.com/"}.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYesRequired: the full address of one public web page, for example https://example.com/ or https://store.example.com/products/item. Not a search phrase or product name. No sign-in, cookies, browser rendering or private-network targets.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / properties / url / description
      Previous value: -"Public HTTP(S) page URL. No sign-in, cookies, browser rendering or private-network targets."New value: +"Required: the full address of one public web page, for example https://example.com/ or https://store.example.com/products/item. Not a search phrase or product name. No sign-in, cookies, browser rendering or private-network targets."
  2. Changed1 schema field changed
    • addedInput schema / properties / url / description
      Added value: +"Public HTTP(S) page URL. No sign-in, cookies, browser rendering or private-network targets."
  3. First observed

TDQS

A3.7/5.0
Behavior4/5

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

Annotations already declare readOnly, idempotent, openWorld and non-destructive, so the safety profile is covered. The description adds genuinely new behavioral facts beyond the annotations: no payment is charged, no page content is returned, and the fetch happens exactly once. It stops short of describing rate limits or error behavior.

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?

Three short sentences, front-loaded with the action and its outputs, followed by mechanics and an example. The JSON example largely duplicates the schema's own example, which is minor redundancy rather than bloat.

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?

There is no output schema, so the description correctly carries the burden of naming the returned fields (fetchability, size, final URL, title, content hash). For a one-parameter read-only tool with full annotation coverage, that is nearly everything an agent needs; only error/failure semantics are absent.

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% and the single 'url' property already carries a detailed description (full page address, not a search phrase, no sign-in/cookies/rendering/private networks). The description only restates the one-URL constraint and repeats an example URL already present in the schema, so it adds little beyond structured data. Baseline 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb and resource ('Fetch a public URL') and enumerates the return values (fetchability, size, final URL, title, content hash). It implicitly separates itself from write-side siblings by noting 'nothing is created or charged', but never names create_monitor or check_now directly, so sibling differentiation is left to inference.

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

Usage Guidelines3/5

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

The 'preflight' framing plus 'says whether it can watch it' and 'nothing is created or charged' implies this is a free pre-check run before creating a monitor, but no alternative is named and no explicit when-not condition is given. Usage is implied rather than stated.

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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