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Glama

compliancepulse

CompliancePulse: The regulatory applicability layer. 14 endpoints: global LEI entity verification (GLEIF, $0.02), OFAC sanctions screening ($0.02), EU VAT validation ($0.01), deterministic deadline check (deferral-aware, tracks EU AI Act Official Journal status, $0.02), EU AI Act risk classification ($0.25), company applicability scan — which regimes bind this business, ranked ($1.50), plus data privacy law (145+ jurisdictions), KYC/AML, corporate, employment, sector, cyber (NIS2/DORA), ESG (CSRD/ISSB) briefs and regulatory news

Coverage: Global

Endpoints: • privacy ($0.15): Data privacy law by jurisdiction • kyc ($0.12): KYC/AML requirements by jurisdiction • corporate ($0.15): Corporate compliance and entity setup • employment ($0.15): Employment law and HR compliance • sector ($0.15): Industry-specific regulatory compliance • cyber ($0.12): Cybersecurity compliance requirements • esg ($0.12): ESG and sustainability reporting requirements • news ($0.08): Regulatory intelligence and enforcement news • deadlines ($0.02): Compliance deadline check — deterministic, deferral-aware • ai-act ($0.25): EU AI Act applicability check — risk class, obligations, current deadline state • scan ($1.50): Company regulatory applicability scan — which rules apply to this business • lei ($0.02): Global legal-entity (LEI) lookup and company search via GLEIF — deterministic • sanctions ($0.02): OFAC sanctions screening — deterministic, alias-aware • vat ($0.01): EU VAT number validation via VIES — deterministic • scan-lite ($0.25): Company regulatory applicability preview — agent-budget tier

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
leiNo20-character LEI to look up. Checksum-verified (ISO 7064 mod-97-10) before any registry call — a malformed LEI never burns the lookup.
vatNoFull EU VAT id, with or without the country prefix
gpaiNotrue if you build or fine-tune a general-purpose model
langNolang
nameNoLegal entity name to search. Used when lei is not provided; falls back to fuzzy matching for typos and transliterations. Provide lei OR name.
roleNoprovider | deployer | importer | distributor (default deployer)
sizeNomicro | small | medium | large | listed
typeNoNarrow by entity type
topicNoprivacy | kyc | corporate | employment | sector | cyber | esg | all
actionYesWhich endpoint to call. Options: privacy | kyc | corporate | employment | sector | cyber | esg | news | deadlines | ai-act | scan | lei | sanctions | vat | scan-lite
listedNotrue | false — listed companies have additional disclosure requirements
sectorNofintech | banking | crypto | real-estate | legal | accounting | casino
contextNoBusiness context — e.g. SaaS company, healthcare, e-commerce, fintech
countryNoCountry or jurisdiction — e.g. Germany, California, China, Brazil, Singapore. Also accepts 'jurisdiction'
categoryNoai | privacy | esg | cyber | financial | supply-chain | product | corporate | consumer
use_caseNoWhat the AI system does, in plain language
frameworkNoNIS2 | DORA | NIST | ISO27001 | SOC2 | CMMC — or omit for country-based analysis
thresholdNoMatch score cutoff 0-100. Default 85. Lower = more (noisier) hits.
activitiesNoCSV of: ai, personal-data, eu-sales, eu-operations, financial-services, crypto, listed, eu-imports, online-platform, us-operations, uk-operations, card-payments, products-eu, commodities
entity_typeNoEntity type — e.g. Ltd, GmbH, BV, SAS, Pvt Ltd, LLC
within_daysNoOnly regimes with an upcoming date within N days
worker_typeNocontractor | employee | freelancer | gig — focus the classification risk analysis. Also accepts 'type'
company_sizeNolarge | medium | small — determines which mandatory frameworks apply. Also accepts 'size'

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. Changed2 schema fields changed
    • changedInput schema / properties / action / description
      Previous value: -"Which endpoint to call. Options: privacy | kyc | corporate | employment | sector | cyber | esg | news | deadlines | ai-act | scan | lei | sanctions | vat"New value: +"Which endpoint to call. Options: privacy | kyc | corporate | employment | sector | cyber | esg | news | deadlines | ai-act | scan | lei | sanctions | vat | scan-lite"
    • changedInput schema / properties / action / enum
      Previous value: -[
      -  "privacy",
      -  "kyc",
      -  "corporate",
      -  "employment",
      -  "sector",
      -  "cyber",
      -  "esg",
      -  "news",
      -  "deadlines",
      -  "ai-act",
      -  "scan",
      -  "lei",
      -  "sanctions",
      -  "vat"
      -]New value: +[
      +  "privacy",
      +  "kyc",
      +  "corporate",
      +  "employment",
      +  "sector",
      +  "cyber",
      +  "esg",
      +  "news",
      +  "deadlines",
      +  "ai-act",
      +  "scan",
      +  "lei",
      +  "sanctions",
      +  "vat",
      +  "scan-lite"
      +]
  2. Changed5 schema fields changed
    • changedInput schema / properties / lei / description
      Previous value: -"20-character LEI to look up (provide lei OR name)"New value: +"20-character LEI to look up. Checksum-verified (ISO 7064 mod-97-10) before any registry call — a malformed LEI never burns the lookup."
    • changedInput schema / properties / name / description
      Previous value: -"Legal entity name to search, fuzzy fallback for typos (provide lei OR name)"New value: +"Legal entity name to search. Used when lei is not provided; falls back to fuzzy matching for typos and transliterations. Provide lei OR name."
    • changedInput schema / properties / threshold / description
      Previous value: -"Match threshold 0-100 (default 85)"New value: +"Match score cutoff 0-100. Default 85. Lower = more (noisier) hits."
    • changedInput schema / properties / type / description
      Previous value: -"individual | entity | vessel | aircraft"New value: +"Narrow by entity type"
    • changedInput schema / properties / vat / description
      Previous value: -"Full EU VAT id, with or without country prefix"New value: +"Full EU VAT id, with or without the country prefix"
  3. Changed7 schema fields changed
    • changedInput schema / properties / action / description
      Previous value: -"Which endpoint to call. Options: privacy | kyc | corporate | employment | sector | cyber | esg | news | deadlines | ai-act | scan"New value: +"Which endpoint to call. Options: privacy | kyc | corporate | employment | sector | cyber | esg | news | deadlines | ai-act | scan | lei | sanctions | vat"
    • changedInput schema / properties / action / enum
      Previous value: -[
      -  "privacy",
      -  "kyc",
      -  "corporate",
      -  "employment",
      -  "sector",
      -  "cyber",
      -  "esg",
      -  "news",
      -  "deadlines",
      -  "ai-act",
      -  "scan"
      -]New value: +[
      +  "privacy",
      +  "kyc",
      +  "corporate",
      +  "employment",
      +  "sector",
      +  "cyber",
      +  "esg",
      +  "news",
      +  "deadlines",
      +  "ai-act",
      +  "scan",
      +  "lei",
      +  "sanctions",
      +  "vat"
      +]
    • addedInput schema / properties / lei
      Added value: +{
      +  "description": "20-character LEI to look up (provide lei OR name)",
      +  "type": "string"
      +}
    • addedInput schema / properties / name
      Added value: +{
      +  "description": "Legal entity name to search, fuzzy fallback for typos (provide lei OR name)",
      +  "type": "string"
      +}
    • addedInput schema / properties / threshold
      Added value: +{
      +  "description": "Match threshold 0-100 (default 85)",
      +  "type": "string"
      +}
    • addedInput schema / properties / type
      Added value: +{
      +  "description": "individual | entity | vessel | aircraft",
      +  "type": "string"
      +}
    • addedInput schema / properties / vat
      Added value: +{
      +  "description": "Full EU VAT id, with or without country prefix",
      +  "type": "string"
      +}
  4. Changed9 schema fields changed
    • changedInput schema / properties / action / description
      Previous value: -"Which endpoint to call. Options: privacy | kyc | corporate | employment | sector | cyber | esg | news"New value: +"Which endpoint to call. Options: privacy | kyc | corporate | employment | sector | cyber | esg | news | deadlines | ai-act | scan"
    • changedInput schema / properties / action / enum
      Previous value: -[
      -  "privacy",
      -  "kyc",
      -  "corporate",
      -  "employment",
      -  "sector",
      -  "cyber",
      -  "esg",
      -  "news"
      -]New value: +[
      +  "privacy",
      +  "kyc",
      +  "corporate",
      +  "employment",
      +  "sector",
      +  "cyber",
      +  "esg",
      +  "news",
      +  "deadlines",
      +  "ai-act",
      +  "scan"
      +]
    • addedInput schema / properties / activities
      Added value: +{
      +  "description": "CSV of: ai, personal-data, eu-sales, eu-operations, financial-services, crypto, listed, eu-imports, online-platform, us-operations, uk-operations, card-payments, products-eu, commodities",
      +  "type": "string"
      +}
    • addedInput schema / properties / category
      Added value: +{
      +  "description": "ai | privacy | esg | cyber | financial | supply-chain | product | corporate | consumer",
      +  "type": "string"
      +}
    • addedInput schema / properties / gpai
      Added value: +{
      +  "description": "true if you build or fine-tune a general-purpose model",
      +  "type": "string"
      +}
    • addedInput schema / properties / role
      Added value: +{
      +  "description": "provider | deployer | importer | distributor (default deployer)",
      +  "type": "string"
      +}
    • addedInput schema / properties / size
      Added value: +{
      +  "description": "micro | small | medium | large | listed",
      +  "type": "string"
      +}
    • addedInput schema / properties / use_case
      Added value: +{
      +  "description": "What the AI system does, in plain language",
      +  "type": "string"
      +}
    • addedInput schema / properties / within_days
      Added value: +{
      +  "description": "Only regimes with an upcoming date within N days",
      +  "type": "string"
      +}
  5. First observed

TDQS

C2.6/5.0
Behavior3/5

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

With no annotations, the description carries the full burden. It does disclose some behavioral traits: several endpoints are labeled 'deterministic' (lei, deadlines, sanctions, vat), and it notes checksum verification for LEI and deferral-awareness for deadlines. However, it does not cover response format, error behavior, rate limits, or whether the tool is read-only. The price list adds cost context but not behavioral transparency.

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

Conciseness2/5

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

The description is an extensive catalog with prices, formatting, and a minor inconsistency ('14 endpoints' but 15 listed). It lacks a concise summary of the tool's core function and buries the essential 'regulatory applicability layer' behind a wall of endpoint listings. It is not front-loaded with the most decision-relevant information for an AI agent.

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?

Given the tool's complexity (15 endpoints, 23 params, no output schema), the description enumerates capabilities but fails to explain how the tool should be invoked holistically. It doesn't state that 'action' is required, how other parameters map to endpoints, or what the common response structure looks like. The endpoint blurbs provide partial return-value hints but leave the agent to guess how to combine parameters and interpret results.

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 coverage is 100%, so the baseline is 3. The description's endpoint list adds context to the 'action' parameter, and some endpoint descriptions (e.g., 'scan' returns ranked regimes) hint at what parameters like 'company_size' or 'context' are for, but the description does not systematically explain parameter relationships. It mostly relies on the schema's already detailed parameter descriptions.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description opens with 'CompliancePulse: The regulatory applicability layer,' which is a vague abstraction rather than a concrete verb+resource. It then lists 15 endpoints with brief descriptions, which clarifies that this is a multi-endpoint compliance API, but the overall purpose remains diffuse and it doesn't clearly distinguish itself from other Pulse tools beyond the obvious compliance domain.

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

Usage Guidelines2/5

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

The description offers no explicit guidance on when to use this tool versus alternatives. It doesn't mention exclusions, prerequisites, or scenarios like 'use for regulatory checks.' The endpoint list implies various use cases, but there is no direct instruction on selecting compliancepulse over a sibling (e.g., taxpulse, esgpulse).

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

B3.2/5.0
Disambiguation4/5

Each tool has a unique domain prefix (e.g., airdroppulse, alphapulse, arbipulse) making them mostly distinguishable at a glance. A few adjacent verticals like careerpulse vs talentpulse or marketpulse vs dealpulse have overlapping themes, but their descriptions clarify the distinct focus. The utility tools (catalog_search, discover, get_openapi_spec, x402_troubleshoot) are also clearly distinct in role. However, the sheer number of similar 'pulse' names could still cause misselection without reading descriptions.

Naming Consistency4/5

The dominant naming convention is `<domain>pulse` (e.g., climatepulse, cryptopulse, edupulse), which is highly consistent and predictable. Exceptions like catalog_search, discover, get_openapi_spec, x402_troubleshoot, and stateedge break the pattern, but these are few and serve obvious utility purposes. Overall, the convention is clear and easily learnable.

Tool Count2/5

With 80 tools, the server presents an extremely large and potentially overwhelming surface. While each tool represents a distinct intelligence vertical and navigation aids exist (catalog_search, discover, get_openapi_spec), the count far exceeds the typical 3-15 range for coherent agent use and even the 'heavy' 16-25 range. The burden of selecting the correct vertical from 80 options is significant, despite clear naming.

Completeness5/5

The server offers an exceptionally broad and deep coverage of domains, from finance and health to agriculture and gaming. Each vertical includes multiple endpoints that address core operations for its domain, such as search, analysis, comparisons, deterministic checks, and even action-oriented tools like letter generators and physical mail. The presence of free discovery and troubleshooting tools fills potential gaps, leaving no obvious dead ends in the overall tool surface.