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verify_freshness

Website uptime and change check: is this URL up right now, and has the page changed? Fetches the URL and returns the HTTP status, Last-Modified and ETag headers, a SHA-256 fingerprint of the content, and whether it changed versus a hash you pass in. Use it to check a site is live, detect stale data, monitor a page for changes, or decide whether to invalidate a cache before your agent acts on what it says. Returns a signed attestation. Free tier is unsigned and rate-limited. For a cryptographically signed attestation with no daily limit ($0.02 USDC), add an x402 payment header to THIS SAME tool call (PAYMENT-SIGNATURE for v2, X-PAYMENT for v1) or POST /verify/freshness over HTTP. Same price on either transport.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYesFull URL including https://
prior_hashNoOptional prior SHA-256 hex to compare against

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.6/5.0
Behavior5/5

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

With no annotations, the description carries the full burden and delivers: it enumerates the exact returned signals (status, Last-Modified, ETag, SHA-256 fingerprint, changed-vs-prior-hash), discloses that free-tier responses are unsigned and rate-limited, explains how to obtain a signed attestation, and states the price and transport options.

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 core capability and the four use cases are front-loaded in the first two sentences. The payment and transport boilerplate at the end is relevant to correct invocation but is dense; the definition is longer than strictly necessary yet every sentence carries information.

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 annotations and no output schema, the description compensates by fully describing the return payload and the paid-vs-free behavioral difference. An agent has everything needed to call the tool and interpret its output without additional fields.

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%, so the baseline is 3, but the description adds real meaning beyond the schema: it clarifies that prior_hash is compared against the newly computed content fingerprint to yield the 'changed' verdict, turning an opaque field into a purposeful input.

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 states a specific verb and resource: fetch a URL and report uptime plus content change (HTTP status, Last-Modified, ETag, SHA-256 fingerprint). It is clearly distinguished from siblings verify_business, verify_claim, and verify_price, which verify different resources entirely.

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?

It gives concrete usage scenarios — check a site is live, detect stale data, monitor a page, or decide whether to invalidate a cache before acting on the content. It does not explicitly state when NOT to use it or name alternative tools, but the sibling set targets unrelated resources so the routing risk is low.

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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