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

With no annotations provided, the description carries the full behavioral burden. It does disclose the execution mechanism (headless browser), supported URL schemes, and output shape, but it omits side effects, failure behavior, and any caution about hitting live 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?

Two sentences with no filler: the first defines what the tool extracts and how, the second gives scope and purpose. Key information is front-loaded and 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?

The schema fully documents all parameters, the description names the output fields, and the use case is explicit, so an agent has enough to invoke it correctly. Missing boundary conditions, such as when to prefer another sibling or known limitations, prevent a perfect score.

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 100%, so the schema already documents url, maxBands, and waitStrategy, including the file:// option. The description repeats some of that context and adds the comparison use case, but adds no parameter-level meaning beyond the schema.

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 names the action and resource: 'Extract a page's section band map' and lists the specific fields returned (tag, label, background color, offset, height). It does not explicitly differentiate this from siblings like capture_live_site or get_site_elements, so it misses the top score.

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?

It gives a concrete use case — comparing a reference site's structure against a local build — and notes it works on both live URLs and file:// paths. It does not state when to avoid this tool or name an alternative, but the context is clear enough for basic routing.

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. It usefully discloses the Playwright dependency and that the capture is live and fresh, but it does not state whether the operation is read-only, how failures surface, or what the tool returns.

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 front-loaded sentence states the action, target, and mechanism, plus the necessary dependency warning. There is no filler or redundant restatement of the tool name.

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 two-parameter screenshot tool, the description covers the action, prerequisite, and target adequately. The main missing detail is the return format, but given the low complexity and no output schema, this is a minor gap.

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?

Both parameters have full schema descriptions, so the baseline is 3. The description's 'full-page screenshot' aligns with the url parameter but adds no extra meaning beyond the schema, and waitStrategy is not discussed in the description.

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 ('Take') and resource ('fresh full-page screenshot of a live website URL') and names the mechanism (headless browser). This clearly distinguishes it from sibling tools that retrieve metadata, analyze structure, or record motion.

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 use when an up-to-date visual capture is needed, but it does not explicitly state when to use this tool versus alternatives. No comparison is made to sibling tools such as analyze_page_structure or record_site_motion.

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 must carry behavioral disclosure. It lists the expected response fields (color palette, technologies, etc.), which informs the agent of the output scope, and 'inline screenshot' suggests an embedded image. However, it does not state side effects (likely read-only but not explicit), authentication requirements, rate limits, or error behavior. This is moderate transparency for a read-oriented 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?

The description is a single sentence that front-loads the core concept ('Get the design DNA') then enumerates contents efficiently. There is no fluff or repetition. The phrase 'design DNA' is slightly stylistic but not verbose. It earns its place, and the structure is clean.

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 read tool, listing the expected fields provides basic sufficiency. However, the description does not clarify how it differs from get_site_elements (which likely returns design elements specifically), nor does it describe the response format (e.g., whether the screenshot is a URL or base64). Given the sibling overlap and absence of an output schema, more contextual guidance would improve completeness.

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 schema description fully covers the slug parameter, including a pattern and an example ('l-i-s-a'). The tool description adds no extra semantics beyond what the schema provides—it only says 'one Awwwards site,' which duplicates the schema's context. Since schema coverage is 100%, baseline 3 is appropriate.

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 specifies a clear verb ('Get') and a resource ('design DNA' of one Awwwards site), then enumerates the included content (color palette, technologies, design elements, awards, description, inline screenshot). This is distinct from search_sites (which lists sites) and capture_live_site (which captures a live site), but the overlap with get_site_elements is not explicitly addressed. The term 'design DNA' is a bit stylized, but the clarification of contents makes the purpose understandable.

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 retrieving details of a specific site after obtaining a slug, as the parameter example references search_sites. However, it does not explicitly state when to prefer this over get_site_elements or other siblings, nor does it mention conditions or exclusions. The agent must infer the usage context from the parameter and the phrase 'one Awwwards site.'

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?

There are no annotations, so the description carries the behavioral burden. It does disclose what the output contains (poster images inline, video URLs) and implies a read-only fetch via 'Get.' But it does not mention data freshness, error behavior, empty results, or any access constraints.

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 a single, well-structured sentence that front-loads the core purpose, then uses a colon-delimited list to specify the output categories. Every phrase earns its place without padding or repetition.

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, this description is largely complete: it names the input source (slug from search_sites via schema), scopes to one site, and enumerates the returned content types. It only lacks explicit note on absent or malformed slugs, but that is a minor gap given the schema constraints.

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 100%, and the single slug parameter is already documented with a pattern and example. The description adds no additional meaning about the parameter, so the baseline score of 3 applies.

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 verb and resource: 'Get the design-element highlights of one Awwwards site.' It then enumerates the exact content types (3D models, video content, mobile layouts, microcopy), making it clearly distinct from siblings like get_site_details or search_sites.

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 implied from the description: if someone wants component-level design highlights, this tool fits. However, it provides no explicit when-to-use vs alternatives, no exclusion criteria, and does not mention any sibling tools or edge conditions where this tool would be the wrong choice.

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 behavioral burden. 'List' signals read-only intent and the description discloses what will be returned. It lacks explicit safety wording, but for a zero-argument listing there is little ambiguity.

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 a single, efficient sentence with no filler. The core purpose and the connection to search_sites are immediately clear.

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 zero-parameter list tool with no output schema, this description provides sufficient context: what is listed, in what form (hexes and slugs), and where it applies. Nothing needed to invoke the tool correctly is 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?

The tool has zero parameters, so the empty schema fully covers parameter handling; baseline is 4. The description adds meaning by explaining what the returned taxonomy represents and how it connects to search_sites.

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 verb ('List') and resource ('filter taxonomy'), and spells out the contents: color hexes and tag/technology slugs. It is clearly distinguishable from siblings like search_sites or get_site_details.

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 explains the taxonomy is 'usable with search_sites', which tells an agent when to call this tool: before constructing filter-based searches. It does not name exclusions, but no sibling is a close alternative for retrieving filter vocabulary.

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 provided, the description carries the full behavioral disclosure burden. It usefully discloses the return payload (inline filmstrip JPEG and .webm path) and the requirement for optional playwright and ffmpeg-static dependencies, but it does not mention potential side effects, failure modes if dependencies are missing, or operational details like recording duration.

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 two concise sentences with no filler. It front-loads the primary action and resource, then efficiently covers output format and dependency requirements.

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 output schema and no annotations, the description covers the essential return values and dependency caveat, while the input schema fully covers all three parameters. Some minor operational details (e.g., recording duration or behavior on heavy sites) are left out, but the combination of description and schema is sufficient for an agent to invoke 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 100%, so the parameters are already well documented in the schema. The description adds no additional parameter-level meaning beyond the schema, so the baseline score of 3 applies.

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 uses a specific verb ('Record') and a clear resource ('short motion-through video of a live website'), with concrete examples like preloader, scroll-triggered, and hover/cursor animations. It does not explicitly distinguish itself from the sibling 'capture_live_site', but the motion-video focus makes the purpose reasonably clear.

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 the tool is for capturing dynamic motion and animations on a live site, which signals when it would be appropriate. It does not explicitly state when to prefer it over sibling tools like 'capture_live_site' or 'analyze_page_structure', so the usage guidance is only implicit.

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 provided, the description carries the full burden. It discloses the return shape (site cards with screenshots, URLs, awards, tags) and implies a read-only search operation. However, it does not disclose pagination behavior, rate limits, whether results are live or cached, or what happens when no results match. The description adds some behavioral context but leaves meaningful gaps.

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 a single, front-loaded sentence that states the core purpose and the return value. It is efficient and free of filler. It could earn a 5 by also naming a sibling alternative, but as written it is appropriately sized and structured.

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 search tool with 8 parameters and no output schema, the description gives the essential purpose and return shape but does not explain how the parameters interact, what the default behavior is, or what the site cards contain beyond the listed fields. The sibling tools suggest a broader workflow, but the description does not position this tool within it. It is adequate but not complete.

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 63%, so the schema already documents several parameters (tags, color, query, sortBy, technology). The description adds the high-level context that these parameters filter the search results, but it does not add meaning beyond what the schema provides for the undocumented parameters (page, award, count). Baseline 3 is appropriate given the partial schema coverage.

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 verb ('Search'), a specific resource ('award-winning websites on Awwwards'), and the key output ('site cards with inline screenshots, live URLs, awards and tags'). This clearly distinguishes it from siblings like get_site_details or capture_live_site, which target individual sites or capture actions.

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 this is the tool for searching/browsing the Awwwards site collection, and the sibling names suggest alternatives for detail, capture, or analysis. However, it does not explicitly state when to use this tool versus get_site_details or analyze_page_structure, nor does it mention any exclusions or prerequisites. The usage context is clear but not fully articulated.

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