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vendor_risk_assessor

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Évaluateur de risque fournisseurs — Gapup agent-payable C-suite expertise (RISK). Returns a structured, audited deliverable. Reference case: Gapup Hub — 15 fournisseurs · €1.8M spend · 3 critiques · Heatmap + plan de remédiation. Inputs are validated server-side — send the documented case fields.

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.
companyYes
vendorsYes
riskFrameworkNo
assessmentPurposeNo

Schema Changelog

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

  1. First observed

TDQS

C2.6/5.0
Behavior3/5

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

The description adds a couple of behavioral details such as server-side validation and the production of a structured deliverable, which goes slightly beyond the readOnlyHint annotation. It does not contradict annotations, but it does not disclose any additional side effects, rate limits, or authorization requirements.

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

Conciseness3/5

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

The description is relatively short but contains promotional language ('Gapup agent-payable C-suite expertise (RISK)') and a reference case that is illustrative but not essential. The core functional content is compact, but the marketing fluff reduces efficiency.

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

Completeness1/5

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

This is a complex tool with nested objects, multiple enums, and no output schema, yet the description does not explain required vendor fields, risk frameworks, assessment purpose, or the deliverable's structure. The instruction to 'send the documented case fields' is too vague for an agent to know what to provide, making the description incomplete for effective use.

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

Parameters1/5

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

The description does not explain any of the parameters at all, only referring vaguely to 'documented case fields.' With schema description coverage at only 20%, the description fails to clarify the meaning of company, vendors, riskFramework, assessmentPurpose, or the nested fields, leaving an agent without adequate information to construct a valid request.

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

Purpose4/5

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

The description clearly identifies the tool as a vendor risk assessor that returns a structured, audited deliverable, and provides a concrete reference case. However, it does not explicitly differentiate this tool from sibling risk-related tools such as cyber_risk_auditor or supplier_esg_audit.

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?

There is no guidance on when to use this tool versus alternatives, nor any reference to exclusions or specific use cases. The reference case implies a typical scenario but does not state the appropriate context or distinguish it from other risk assessment tools.

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.