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run_ad_creative_check

Cross-jurisdiction ad-creative compliance scan (~30 rules). Pass an image URL, base64 image, or just a landing-page URL plus caption — the scanner extracts on-image text, evaluates prominence/contrast/dark patterns/disclosures, and returns a full audit.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlNoPublic URL of a landing page connected to the creative — fetched server-side.
textNoOptional text accompanying the ad creative (caption or alt copy).
captionNoOptional caption text shown with the creative on social.
image_b64NoBase64-encoded image bytes (or data: URL). Use this if the image is not publicly hosted.
image_urlNoHTTPS URL of the ad creative image (jpeg/png/gif/webp, <= 5 MB).

TDQS

A4.4/5.0
Behavior4/5

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

Without annotations, the description carries the full behavioral burden. It discloses key behaviors: 'extracts on-image text, evaluates prominence/contrast/dark patterns/disclosures, and returns a full audit'. This gives a solid understanding of processing steps and outputs, though it omits failure modes and side effects.

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

Conciseness5/5

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

The description is two sentences, front-loading the main purpose and then efficiently covering inputs and behavior. Every sentence earns its place without redundancy or wasted words.

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

Completeness4/5

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

Given five optional parameters and no output schema, the description provides useful usage patterns but leaves ambiguity about parameter combinations (e.g., what happens if multiple inputs are passed together). The listed evaluation criteria and 'full audit' output give a good overall sense of the tool's behavior.

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?

The schema already has 100% parameter coverage, so the baseline is 3. The description adds value by clarifying input relationships: 'Pass an image URL, base64 image, or just a landing-page URL plus caption', which implies mutual alternatives and a common usage pattern beyond individual parameter definitions.

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 opens with 'Cross-jurisdiction ad-creative compliance scan (~30 rules)', giving a specific verb phrase ('compliance scan') and a clear resource (ad creatives). It distinguishes itself from sibling compliance check tools by targeting ad creatives specifically, and further clarifies the output ('returns a full audit').

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?

The description provides explicit input alternatives: 'Pass an image URL, base64 image, or just a landing-page URL plus caption'. This gives clear context on what arguments to provide and how they combine, though it does not explicitly name alternative tools or exclusion conditions.

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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TDQS

A4.2/5.0
Disambiguation5/5

Each tool targets a distinct resource or action: signal retrieval, search, ruleset listing, and regime-specific audits. The run_*_pro_check tools are parallel but clearly differentiated by jurisdiction names, and get_latest_signal vs search_signals serve different purposes.

Naming Consistency5/5

All tool names follow a consistent verb_noun pattern with lowercase and underscores. The verbs get, list, search, and run are used predictably, and the run_*_pro_check pattern is uniform across all audit tools.

Tool Count5/5

13 tools is well within the ideal 3-15 range and each tool earns its place for a marketing compliance server. The count covers discovery (list_regimes), free resources (get_lite_ruleset), signal monitoring, and comprehensive audits across multiple jurisdictions and specialized checks.

Completeness5/5

The tool set provides thorough coverage of the marketing compliance domain: free ruleset for self-audit, full pro checks for major regulatory regimes (EU, UK, US, Singapore, UAE), specialized audits for ad creative, AEO visibility, and TGE readiness, plus signal feed access and search. No obvious gaps or dead ends exist.

Resources