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ma_tax_efficiency_mapper

Read-onlyIdempotent

For CFOs evaluating cross-border M&A deals: analyzes tax efficiency by mapping withholding tax rates, transfer pricing regulations, and permanent establishment risks across specified jurisdictions. Inputs include acquirer/target jurisdictions, deal structure, and transaction value. Outputs jurisdiction-specific tax exposure, efficiency scores, and risk flags. Uses World Bank Tax Rates API, IMF SDR data, and SEC EDGAR filings for corporate tax disclosures. — pass async:true REQUIRED to avoid x402 timeout.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
asyncNoIf true, returns a job_id immediately (<200ms) instead of waiting for the result. Poll the result with job_result(job_id). Use for slow tools to avoid client timeouts.
deal_structureNoType of M&A transaction structure
transaction_valueNoDeal value in USD millions
target_jurisdictionYesISO 3166-1 alpha-3 country code of the target entity
acquirer_jurisdictionYesISO 3166-1 alpha-3 country code of the acquiring entity
include_transfer_pricingNoWhether to analyze transfer pricing risks

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
statusYes
sourcesNo
warningsNo
tax_treatiesNo
efficiency_scoreNo
target_tax_ratesNo
acquirer_tax_ratesNo
transfer_pricing_riskNo
permanent_establishment_riskNo

TDQS

A4.6/5.0
Behavior5/5

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

Adds significant behavioral context beyond annotations: specific data sources (World Bank, IMF, SEC), output types (exposure, efficiency scores, risk flags), and a mandatory async requirement to avoid a x402 timeout. This enriches the read-only/open-world/idempotent hints provided by annotations.

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

Conciseness4/5

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

Five sentences, each contributing distinct information (audience, analysis scope, inputs, outputs, data sources, async requirement). Well-structured and front-loaded with purpose. Slightly longer than strictly necessary but no filler.

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?

Given the complexity of cross-border tax analysis, the description covers purpose, inputs, outputs, data sources, and a critical async requirement. With an output schema present and strong annotations, this is complete enough for an agent to select and invoke correctly.

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?

Schema coverage is 100%, so baseline is 3. The description adds meaning for the async parameter by explaining it is REQUIRED to avoid timeout, and mentions acquirer/target jurisdictions, deal structure, and transaction value as inputs. It doesn't detail all params, but the async note goes beyond schema.

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 verb ('analyzes tax efficiency') and resource ('mapping withholding tax rates, transfer pricing regulations, and permanent establishment risks across specified jurisdictions'). It clearly distinguishes from siblings by focusing on tax efficiency for cross-border M&A, and lists concrete outputs.

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?

Provides clear context ('For CFOs evaluating cross-border M&A deals') and describes inputs, but does not explicitly name alternatives or when-not-to-use. The async note also gives practical usage guidance. Lacks explicit exclusions or alternative tool mentions, which prevents a 5.

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

C2.4/5.0
Disambiguation1/5

Over 50 tools share the identical template 'Gapup agent-payable C-suite expertise' with similar French descriptions and reference cases, making their boundaries indistinguishable. Clusters like competitor_intel, competitive_deep_dive, competitor_moves, competitor_profiles, competitor_pricing_radar, competitor_pricing_scrape, and competitor_recommendations heavily overlap in purpose.

Naming Consistency1/5

Names are chaotic: mix of French and English, snake_case and camelCase, verb_noun, noun, and adjective forms with no uniform pattern. Examples like 'bp_narratif', 'content_enrichment', 'ai_governance_full_report_async', and 'job_result' show no coherent naming convention.

Tool Count1/5

271 tools is far beyond any reasonable MCP server scope, creating an overwhelming selection burden for agents. This count vastly exceeds the 25+ threshold for 'too many' and makes navigation impractical.

Completeness2/5

While the server covers many business domains, it lacks lifecycle operations (e.g., no update/delete tools for the deliverables it generates) and the input specifications are vague ('documented case fields' without documentation), creating functional dead ends. The sheer breadth does not compensate for these gaps.