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vendor_esg_diversity_scanner

Read-onlyIdempotent

For COOs: scans vendor ESG reports to identify suppliers lacking diversity disclosures in GRI or CDP filings. Input a supplier name or identifier to receive a structured assessment of gender, ethnicity, and board diversity metrics. Returns compliance gaps, missing data flags, and source references from CDP open data and GRI standards. Ideal for vendor risk assessment and ESG compliance tracking.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
yearNoReporting year to check (default: current year)
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.
supplierIdNoCDP or GRI identifier for the supplier (e.g., CDP company ID)
supplierNameYesExact or partial name of the supplier to scan

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
statusYes
sourcesNo
warningsNo
reportLinksNoURLs to relevant ESG reports
supplierNameYes
complianceScoreYesPercentage compliance with diversity disclosure standards
diversityDisclosuresYes

TDQS

A4.1/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, and openWorldHint, so the safety profile is covered. The description adds useful behavioral context: it scans reports, returns compliance gaps, missing data flags, and source references from CDP and GRI. No contradictions with annotations are present.

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?

The description is three sentences long and front-loaded with the target audience. Each sentence provides distinct value: purpose, input/assessment, and use case. While slightly verbose, it avoids redundancy and remains focused.

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 a tool with 4 parameters and an output schema, the description covers purpose, inputs, outputs, data sources, and ideal use cases. The output schema handles return structure details, so the description needn't repeat them. Minor omission: no mention of the async parameter or handling of optional identifiers, but overall it is adequately complete.

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%, so all four parameters (year, async, supplierId, supplierName) are already documented. The description only loosely echoes 'supplier name or identifier', which does not add meaningful semantic detail beyond the schema. With high coverage, this baseline of 3 is appropriate.

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 uses a specific verb ('scans') and resource ('vendor ESG reports') to clearly state the tool's function: identifying suppliers lacking diversity disclosures in GRI or CDP filings. This unique focus on diversity disclosures distinguishes it from sibling tools like supplier_esg_audit or vendor_esg_blacklist_monitor.

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 clear context for when to use the tool ('vendor risk assessment and ESG compliance tracking') and targets a specific audience ('For COOs'). However, it does not explicitly mention when not to use it or contrast with alternatives, stopping short of full exclusion guidance.

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.