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run_vara_pro_check

Run the full VARA Dubai marketing self-audit (~35–40 rules). Marketing & Promotions Rulebook, pre-approval requirements, KOL contracts, risk warnings, prohibited content.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlNoPublic URL to fetch and audit instead of pasting text. Server-side fetched with SSRF guards.
textNoThe marketing asset text to audit (landing-page copy, ad text, email body, X post, KOL contract, whitepaper excerpt, press release, etc.).
asset_typeNoOptional hint to the auditor about asset type: landing_page | ad | email | x_post | kol_contract | whitepaper | press_release.

TDQS

A3.6/5.0
Behavior3/5

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

With no annotations, the description carries the transparency burden. It adds useful context about audit scope (35–40 rules, specific rulebook topics) but omits behavioral details like whether the tool returns a report, is read-only, or has any 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 a single, tightly worded sentence that front-loads the core purpose and includes a parenthetical rule count. No redundant or filler words.

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

Completeness2/5

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

The description explains what the audit covers but leaves critical usage details unspecified: it does not clarify that at least one of url or text is typically required, nor does it describe what the tool returns (e.g., pass/fail, detailed report). Given the complexity of a 35–40 rule audit and the absence of an output schema, this is a significant gap.

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

Parameters3/5

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

The input schema has 100% parameter description coverage, so the baseline is 3. The description does not add additional meaning beyond what the schema already provides for url, text, and asset_type.

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 clearly states the tool runs a specific VARA Dubai marketing self-audit with a rule count and mentions key topic areas. This distinguishes it from sibling tools like run_fca_pro_check or run_ad_creative_check by naming the regulator and 'full audit' scope.

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

Usage Guidelines3/5

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

The phrase 'full VARA Dubai marketing self-audit' implies use for VARA compliance checks, but the description does not explicitly state when to choose this over alternatives like run_ad_creative_check or other regulator-specific tools. Sibling names signal alternatives, but no active guidance is provided.

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