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run_mica_pro_check

Run the full MiCA (EU cryptoasset marketing) self-audit on a marketing asset. ~40 rules covering Title II–IV, ESMA guidance, and operator-grade interpretive notes. Returns verdict, per-rule analysis, and rewrite suggestions.

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

A4.1/5.0
Behavior3/5

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

With no annotations, the description carries the burden of behavioral disclosure. It describes the output (verdict, per-rule analysis, rewrite suggestions) but does not explicitly state that the tool is read-only or free of side effects. The term 'self-audit' implies analysis only, but explicit disclosure is lacking.

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-loaded with the main action. It efficiently covers scope (rules count, regulatory references) and output without extraneous wording.

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

Completeness5/5

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

Despite no output schema, the description clearly states what the tool returns (verdict, per-rule analysis, rewrite suggestions) and defines the scope (Title II–IV, ESMA guidance). This is complete enough for an agent to understand when and how to invoke it.

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?

Schema description coverage is 100%, providing detailed descriptions for url, text, and asset_type. The description adds no parameter-specific meaning, but the schema already covers the semantics, so the baseline of 3 applies.

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 states a specific action: 'Run the full MiCA (EU cryptoasset marketing) self-audit on a marketing asset.' It clearly identifies the regulatory scope (MiCA, EU cryptoasset marketing) and distinguishes from sibling tools by referencing the specific regime and asset type.

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 implies usage for MiCA self-audits on marketing assets, which provides clear context. However, it does not explicitly mention when not to use it or compare to alternatives like run_fca_pro_check or run_gdpr_pro_check, so it misses explicit exclusions.

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