Pagewatch

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

No annotations provided, so description carries full burden. It discloses returned data (credits, prices, activation link) and optional api_key. Implicitly read-only, but does not explicitly state safety or potential side effects. Adequate for a balance query.

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?

Exceptionally concise: two sentences plus parameter line. Front-loaded with main action, no wasted words.

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?

Given single optional param, no output schema, and no annotations, description covers core functionality and key condition. Could mention error handling (e.g., invalid key) but not critical for selection. Sibling tools unrelated, so no confusion.

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 has 0% description coverage, but description adds full meaning: 'api_key: an existing pagewatch bearer token, optional.' Clearly explains purpose and when to use, compensating for schema gap.

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 clearly states the tool's verb ('check') and resource ('remaining free credits, per-call prices, activation link'). It distinguishes from siblings (none check balance) and specifies the output scope.

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?

Provides clear condition for passing api_key ('if you did not configure an Authorization header'). No explicit alternatives or when-not-to-use mentioned, but context is sufficient for a simple check tool.

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?

Mentions respecting robots.txt and api_key creation behavior. No annotations provided, so description carries burden; could disclose more like idempotency or rate limits.

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 paragraphs; first is concise, second repeats parameter info. Slightly verbose but not excessive.

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?

Covers main functionality, but lacks output format details (base64 string specifics), error handling, or size limits. Adequate for 5-param tool with no output schema.

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 description adds meaning: explains mutual exclusivity, lists paper sizes, landscape orientation, and api_key purpose. Compensates well for missing schema descriptions.

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 clearly states the tool renders a URL or HTML into a PDF and returns base64 data. It distinguishes the core function but does not explicitly differentiate from sibling tools like screenshot or read_page.

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?

Provides guidance on mutual exclusivity of url/html and api_key handling, but lacks when-to-use vs. alternatives (e.g., when to use pdf instead of screenshot).

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?

Discloses handling of JS rendering, robots.txt compliance, and free trial key creation. No annotations provided, but description adds safety and behavioral context. Could mention rate limits or failure handling.

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?

Well-structured with main purpose first, then handling details, then parameter list. Slightly verbose but no wasted sentences.

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?

Covers input parameters and output format (markdown with metadata). No output schema, but description suffices. Missing error scenarios, but adequate for a read tool.

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?

With 0% schema coverage, description fully explains all four parameters: url, api_key, wait_for_selector, scroll. Adds meaning beyond schema types (e.g., wait_for_selector as CSS selector, scroll for lazy content).

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?

Clearly states it loads a web page and returns main content as clean markdown with metadata. Distinguishes from siblings like screenshot, pdf, balance.

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?

Provides context: handles JavaScript-rendered pages, respects robots.txt, refuses blocked sites. Implicitly suggests use for dynamic content but lacks explicit when-not-to-use or alternatives.

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, description fully discloses free nature, no signup, return of bearer token, and activation process. Lacks details on rate limits or multiple calls, but sufficient for registration 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?

Description is somewhat lengthy but each sentence adds value. Front-loaded with main purpose. Could be slightly more concise, but efficient overall.

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?

Given no output schema and simple parameters, description covers tool purpose, return value usage, and activation flow. Adequately complete for its complexity.

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 description explains both optional parameters (label and purpose) with clear, meaningful context, compensating for schema gaps.

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 clearly states the tool creates a pagewatch API key, explains the process, returns a bearer token, and distinguishes from sibling tools like read_page and screenshot.

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?

Provides clear instructions on when to use the tool (first-time registration) and how to proceed after trial runs out. Does not explicitly mention when not to use or alternatives, but context suffices.

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 covers key behaviors: uses a real browser, hides consent overlays, respects robots.txt, handles API keys. However, it lacks details on error handling, loading behavior, timeouts, and what happens for invalid URLs.

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 structured with a clear opening sentence and bullet-like parameter explanations. It is efficient but could be slightly more concise by avoiding repetition of 'base64 image data' in the first and subsequent sentences.

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?

Given 7 parameters, no annotations, and no output schema, the description covers return format, consent handling, and API key behavior. Minor gaps include error handling and rate limits, but overall it is fairly complete for a screenshot tool.

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?

Despite 0% schema coverage, the description explains each parameter (url, api_key, full_page, width, height, format, wait_for_selector) with meaningful context, such as api_key creating a free trial key. It adds value beyond the schema's type-only definitions.

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 clearly states it takes a screenshot of a web page and returns base64 image data, with specific details about format and output. It distinguishes from siblings like pdf (conversion) and read_page (text extraction) by being the only visual capture tool.

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 implies usage for visual page capture but does not explicitly state when to use this tool vs alternatives (e.g., read_page for text, pdf for PDFs). It mentions consent overlay hiding and robots.txt respect, but no clear guidance on exclusions or when not to use.

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