Industrial Platform Web Monitor

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

With no annotations, the description carries the full burden. It does add genuine non-schema context: output is deterministic hashes and diffs, and each call costs $0.001 USDC on Base via x402. However it omits payment/auth prerequisites, failure modes, rate limits, and what happens with bad selectors.

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

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

Three short sentences, front-loaded with the core purpose, then mechanism, then cost. No filler. Could be slightly denser but nothing is wasted.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a 9-parameter tool with no annotations and no output schema, the description leaves many behaviors unexplained (selector semantics, truncation limits, timeout, ignore lists). An agent cannot confidently populate most optional parameters.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0% across 9 parameters, so the description must compensate. It only alludes to previous_hash/previous_text and the diff/hash outputs; selector, ignore_selectors, max_diff_chars, max_text_chars, timeout_seconds, and include_current_text get no explanation at all.

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

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

States a specific verb and resource: 'Detect whether a webpage changed' with the comparison mechanism (previous hash or previous text). Clear and distinguishable from scrape/extract siblings by its change-detection intent, but it never explicitly names an alternative such as web-monitoring-snapshot.

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

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

Usage is only implied through the compare-against-previous-hash/text mechanism; there is no explicit when-to-use or when-not-to-use guidance relative to siblings like web-monitoring-snapshot or canonical-web-scrape. The cost disclosure implies a paid gating condition but no routing advice.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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

With no annotations, the description carries the full burden and does meaningfully better than most: it discloses the payment model and exact price ($0.001 USDC on Base via x402), the per-request limit of one URL, and the scope of returned fields. It still omits error/failure behavior, whether JS-rendered pages are handled, and any rate or auth detail beyond the x402 hint.

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

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

Two tight sentences, front-loaded with the extraction scope and immediately followed by the cost and limit constraints. No filler or redundancy.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

There is no output schema, so enumerating the returned metadata fields is exactly the right compensation, and the cost/limit disclosure covers the payment dimension. Only error handling and page-fetching caveats (e.g., JS-rendered or blocked pages) are missing.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is only 33% (only urls is documented), so the description must compensate. It reinforces the single-URL rule for urls, but says nothing about concurrency or timeout_seconds, leaving two parameters with no semantic guidance in either place beyond min/max bounds.

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

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

States a specific verb (Extract) and resource (webpage metadata) and enumerates the distinct payloads covered: OpenGraph, JSON-LD, title, description, canonical URL, robots directives, headings, Twitter cards. This is specific enough to distinguish it from generic siblings like html-metadata or convertUrlToMarkdown without opening a schema.

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

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

The description imposes a hard constraint (exactly one public URL per paid request) but never states when to choose this tool over near-neighbors such as html-metadata, metadata-single, or canonical-web-scrape. No when-to-use or when-not-to-use guidance is present.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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

No annotations are provided, so the description carries the full burden, and it does disclose two non-obvious behaviors: the stateful hash-chaining workflow and the $0.001 USDC/x402 payment on Base. It omits other behavioral facts an agent needs, such as whether the call blocks, rate limits, auth/wallet requirements, and what the response contains.

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

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

Three tight sentences with no filler, and the core purpose and use cases are front-loaded. It packs cost and the stateful hash instruction efficiently, though the parameter guidance is compressed to the point of omission.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a 9-parameter tool with no annotations, no output schema, and 0% schema description coverage, the description leaves most of the interface unexplained. It covers the payment and hash-chaining idea but not selector semantics, diff sizing, timeouts, or the return shape, which are needed to call it correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0% across 9 parameters, so the description must compensate. It explains only previous_hash (reuse the returned value next call); selector, previous_text, max_diff_chars, max_text_chars, timeout_seconds, ignore_selectors, and include_current_text are entirely undocumented anywhere.

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

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

States a specific verb+resource ('Recurring webpage change monitoring') and enumerates concrete use cases (prices, inventory, availability, documentation, policies, competitors). It does not differentiate itself from near-identical siblings like detectWebpageChange or web-monitoring-snapshot, leaving the agent to guess which monitor to pick.

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

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

Implies recurring use by telling the caller to reuse previous_hash on the next check, which is genuine workflow guidance. However it never states when to choose this tool over the closely-named detectWebpageChange sibling, and gives no exclusions or prerequisites beyond the price.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.