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geographic_expansion

Read-only

Expansion géographique — Gapup agent-payable C-suite expertise (CSO). Returns a structured, audited deliverable. Reference case: Gapup Hub — Expansion 4 marchés (DE/UK/ES/NL) · €1.8M budget · ARR cible €3.2M Y2. 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
productYes
financialsNo
constraintsNo
targetMarketsYes
preferredEntryModeNo
expansionHorizonMonthsNo

Schema Changelog

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

  1. First observed

TDQS

C2.3/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true and openWorldHint=true, and the description does not contradict them. It adds useful context that inputs are validated server-side and that the deliverable is 'audited,' which suggests a quality-checked output. However, it does not explain the return format, potential delays, or any rate limits, leaving room for more 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 short but not well structured or front-loaded. It opens with the French title, then includes the branding 'Gapup agent-payable C-suite expertise (CSO)' which adds no operational value. The reference case is a single concrete example but is presented without a clear connection to the tool's purpose, making the text feel more like marketing than a useful specification.

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?

This is a complex tool with 8 parameters, nested objects, and no output schema, yet the description does not explain what the deliverable contains, how to interpret the return value, or when to use it. The reference case hints at inputs but not at the structure of the output. The description is too thin to allow an agent to invoke the tool correctly without guessing.

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?

With schema description coverage at only 13% (only the async parameter has a description), the description needed to explain or enumerate the documented case fields but does not. 'Send the documented case fields' is circular and unhelpful. The reference case mentions markets, budget, and ARR but does not map them to parameters, so an agent receives no parameter meaning from the description.

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 conveys that this tool relates to geographic expansion and returns a 'structured, audited deliverable,' so it is more than a tautology. However, it lacks a specific action verb (e.g., plan, evaluate, recommend) and does not distinguish itself from siblings like market_entry_strategist or growth_path_architect. The reference case adds context but does not clarify the tool's core function.

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 explicit guidance on when to use this tool or when to prefer an alternative. The mention of 'agent-payable C-suite expertise' hints at a target audience, but it does not state prerequisites, exclusions, or comparisons to sibling tools. The instruction 'send the documented case fields' is about input handling, not usage context.

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.