Scrooge Tool Mill

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

With no annotations, the description carries the full burden and does disclose real behavioral context: cost ($0.15 USDC), payment rail (x402 on Base/eip155:8453), and the batch ceiling. It does not say what the metadata payload contains, how failures for individual URLs are surfaced, or whether non-public URLs error out.

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 clauses, front-loaded with the capability and followed by price/rail. No wasted words, though the missing verb makes the opening slightly telegraphic.

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 no-annotation, no-output-schema tool the description covers the commercial and scope essentials, but an agent still lacks the return shape and per-URL error semantics needed to use results confidently.

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?

The single parameter has 0% schema description coverage, so the description must compensate. It restates the 1–10 range (already enforced by minItems/maxItems) and adds the meaningful 'public' qualifier, but does not clarify URL format or whether duplicates/mixed results are handled.

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?

The phrase 'Page metadata for 1–10 public URLs' names the resource (page metadata) and the batch scope, which cleanly separates it from the single-URL sibling page_meta. It lacks an explicit verb, but the intent is unambiguous.

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 '1–10 ... in one payment' framing implies this is the batch/economical path versus a single-URL call, but no sibling is named and no when-not-to-use condition is given. Usage is inferable rather than stated.

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 behavioral burden. It usefully discloses the paid nature ($0.04 USDC on Base via x402) and implies a read operation by listing returned fields, but it omits authentication needs, rate limits, failure behavior, and whether payment is charged per call or per success.

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?

The description is short and front-loads the core purpose before listing returned fields and the cost. Every clause carries information, though the opening phrase could be more syntactically precise.

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 one-parameter tool with no output schema and no annotations, the description covers the essential output fields and payment model. However, it leaves ambiguity around what 'change fingerprint' precisely means, omits usage guidance against siblings, and does not state whether the operation is read-only or has side effects.

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%, so the description must compensate. It adds that the single param is for one public URL, which gives some meaning beyond the bare schema, but it does not specify URL format, validation, or required protocols.

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?

The description names a specific resource (one public URL) and enumerates the fingerprint fields returned: etag, lastModified, contentHash, byteLength, fetchedAt. It is clear enough to distinguish from a generic metadata or text extraction tool, though it does not explicitly name sibling alternatives or fully resolve whether 'change' is a verb or a noun.

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?

There is no explicit guidance on when to use this tool versus siblings like page_meta or batch_meta. The fields imply change-detection use, but the agent must infer that context and there are no exclusions or prerequisites beyond 'one public URL'.

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 it does add two useful facts: the data is public-record sourced and each call costs $0.03, which lets an agent reason about budget. However, it says nothing about behavior for unknown/unregistered domains, rate limits, latency, or whether results are cached.

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?

A single compact sentence front-loads what the tool returns and closes with the cost. Every clause carries information; nothing is redundant.

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 simple one-parameter lookup with no output schema and no annotations, listing the returned fields compensates for the missing output schema, and pricing covers the main behavioral unknown. The remaining gap is edge-case behavior (unknown domain, empty results), which is minor here.

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?

There is one parameter with 0% schema description coverage, so the description must compensate; 'for a domain' is the only hint about the input and it does imply the parameter is a bare domain string. It adds no format details (e.g., whether scheme/subdomain is accepted).

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?

The description names a specific resource (public-record company profile for a domain) and enumerates the returned fields, so an agent can tell it apart from page-scraping siblings like page_meta or structured_data. It does not explicitly name those siblings, but the resource is clearly distinct.

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?

There is no statement of when to use this tool versus alternatives such as page_meta or structured_data, nor any condition or prerequisite for calling it. Usage is only loosely implied by the word 'company profile'.

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 behavioral burden. It does disclose a consequential trait the schema cannot: the tool is paid ($0.03 USDC on Base via x402), plus the maxLinks range. It omits any auth, rate-limit, or failure behavior, so it is only partially transparent.

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 fragments, front-loaded with purpose and no filler. The payment clause earns its place because it cannot be expressed in the schema.

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 two-parameter tool with no output schema, the description covers purpose, one parameter bound, and cost. It still leaves the url input format and the practical x402 payment flow unexplained, which an agent needs before invoking.

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%, so the description must compensate. It clarifies that url denotes a public page and restates the 1–50 range for maxLinks, but the range is already encoded in the schema, and the URL format/expectations remain undocumented.

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 the resource precisely (outbound links) and its scope (one public page), which cleanly separates it from siblings like page_meta and readable_text. It is a noun phrase rather than a verb, but the operation is unambiguous.

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?

There is no explicit when-to-use guidance or routing to alternatives. The phrase 'one public page' hints at single-page scope versus batch_meta, but the agent must infer this rather than being told.

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 it does disclose a meaningful behavioral trait: the cost and payment rail ($0.02 USDC on Base, eip155:8453 via x402) per call. However, it says nothing about authentication, failure modes, rate limits, or whether the source URL must be publicly accessible, so coverage is partial.

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 compact fragments with zero filler: the return payload is front-loaded and the pricing constraint follows. Every clause carries information an agent needs before calling.

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 simple one-parameter read tool with no output schema, the description lists the return fields and the payment requirement, which covers most of what an agent needs. Missing only edge-case behavior such as error responses for unreachable URLs.

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 0% and the single 'url' parameter has no schema description, so the description must compensate. It adds the constraint that the URL must be public, which is real added meaning, but provides no format, canonicalization, or scheme guidance beyond that.

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?

The description states a specific resource (page metadata) with a precise scope ('one public URL') and enumerates the fields returned (title, description, canonical, OG image, language, excerpt). This implicitly contrasts with the sibling batch_meta, which handles multiple URLs, though it never names that sibling explicitly.

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: 'one public URL' suggests this is the single-URL path and batch_meta is the multi-URL alternative, but the description never states when to pick one over the other or what prerequisites apply (e.g., the URL must be publicly reachable). No exclusions or alternatives are given.

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 exist, so the description carries the full burden. It does disclose genuinely useful behavior the schema cannot convey: a $0.05 USDC payment on Base (eip155:8453) via x402, and the 'public page' access constraint. It omits error behavior, rate limits, and what happens to non-public/JS-rendered pages, which are meaningful gaps for a paid extraction tool.

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 fragments with no filler, and the core purpose is front-loaded before the cost and parameter notes. Slightly telegraphic, but every clause earns its place.

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?

With no annotations, no output schema, and 0% schema description coverage, the description should do more. It covers cost and the maxChars ceiling but says nothing about the return shape, failure modes on non-public pages, or pagination/truncation behavior when maxChars clips content.

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%, so the description must compensate for two parameters. It restates maxChars bounds (1–12000) that the schema already enforces via minimum/maximum, and only loosely qualifies url as a 'public page'. No URL format, scheme, or example is given, so the coverage gap is not closed.

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: 'Main readable text from one public page.' The 'one public page' scope distinguishes it from batch_meta, but the description never names page_meta or any sibling explicitly, so the agent must infer the boundary itself.

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. The 'one public page' phrasing hints that batch/multi-page work belongs to a sibling, but there is no explicit when-to-use, when-not-to-use, or named alternative (page_meta, batch_meta, link_graph).

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 behavioral burden. It does disclose a genuinely useful trait absent from structured data — the $0.01 per-call cost — but says nothing about auth requirements, whether extraction is live or cached, or what happens on pages with no structured data.

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 short sentences with zero filler; the capability is front-loaded and the pricing note follows. Every sentence earns its place.

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?

With one trivial parameter, no nested objects, and no output schema, little description is strictly required, and the return format is at least implied by the listed formats. Still missing is any indication of result shape or how the three formats combine in one response.

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 0%, but there is only one parameter (`url`) whose semantics are largely self-evident from the name and from 'from a page'. The description adds no format detail (absolute URL, redirects, JS-rendered pages), so it neither compensates for nor worsens the gap — a baseline 3.

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 enumerates the exact resource formats it targets (schema.org JSON-LD, microdata, OpenGraph), so the agent knows precisely what comes back. It does not, however, distinguish itself from the sibling page_meta, which plausibly overlaps on OpenGraph/meta extraction.

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?

There is no guidance on when to choose this over page_meta, batch_meta, or readable_text, nor any exclusions. The agent must infer selection purely from the resource names in the sibling list.

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 it does disclose three genuine behavioral traits: the 7-day lifetime, webhook notification on change, and a $0.10 per-watch cost. It omits other material behavior - whether repeated watches of the same URL stack charges, renewal after expiry, detection latency, auth requirements, and what the webhook payload contains - so it is only partially transparent.

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 short sentences with zero filler, and the core capability plus duration is front-loaded ahead of the pricing note. Every clause carries information.

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 tool with no annotations and no output schema, the essentials are present (what it does, how long, what it costs), but an agent still lacks the return/notification contract, expiry renewal behavior, and error cases. Adequate but with visible gaps given the total absence of structured metadata.

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?

There are 2 required parameters with 0% schema description coverage and no enum or type detail, so the schema contributes nothing. The description only obliquely implies them ('a page' for url, 'webhook' for callback_url) and never explains accepted URL formats or what the callback endpoint must accept, leaving the coverage gap largely unfilled.

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 ('Watch a page') plus the delivery mechanism ('get a webhook when it changes'), which clearly separates it from read-only siblings like page_meta or readable_text. It does not explicitly name or contrast any sibling, so it stops short of a 5.

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 7-day window and webhook delivery imply the use case (ongoing change monitoring rather than one-off fetches). However, there is no explicit when-to-use guidance, no statement of when NOT to use it, and no pointer to alternatives such as change_fingerprint for periodic polling.

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