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geo_logistics_intel

Read-only

Geospatial logistics intelligence for supply chain, maritime and transport agents. Four modes: (1) geocode_batch — resolve up to 50 addresses to lat/lon with confidence scores (OSM Nominatim + Open-Meteo fallback, 1 req/s rate-limit respected); (2) routing — road/cycling/walking route with distance_km, duration_seconds and ETA ISO timestamp between two addresses or lat/lon points (OSRM public, keyless, global); (3) port_congestion — congestion status for any UN/LOCODE port (e.g. NLRTM, SGSIN, CNSHA) with waiting vessel count, severity (low/medium/high/extreme) and average wait hours; (4) ship_tracking — AIS position, speed, course, destination and ETA for a vessel by its 9-digit MMSI. No API key required for geocode/routing/port. Optional env: AIS_STREAM_API_KEY for live ship data (otherwise MarineTraffic scrape best-effort). SLA: <=25s p95. Cache: 24h geocoding / 1h routing / 30min port / 5min ship. Quality score 0-100. Status: final/partial/failed.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
toNorouting only: destination address or 'lat,lon'
fromNorouting only: origin address or 'lat,lon'
modeYes'geocode_batch': address -> lat/lon. 'routing': route + ETA. 'port_congestion': UN/LOCODE port state. 'ship_tracking': vessel by MMSI
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.
queryYesPrimary input: address for geocode/routing, UN/LOCODE (e.g. NLRTM) for port_congestion, 9-digit MMSI for ship_tracking
addressesNogeocode_batch only: up to 50 addresses (overrides query if provided)
mode_transportNorouting only: transport mode. Default: driving

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
modeYes
statusYes
routingNo
sourcesYes
geocode_batchNo
quality_scoreYes
ship_trackingNo
port_congestionNo

TDQS

A4.5/5.0
Behavior5/5

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

Beyond annotations (readOnlyHint, openWorldHint), the description discloses rate limits (1 req/s), fallback providers, API key requirements, SLA (<=25s p95), caching durations (24h/1h/30min/5min), quality score, and status values (final/partial/failed). This adds substantial behavioral context not present in annotations.

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

Conciseness5/5

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

The description is dense but well-organized: it opens with a clear summary, lists the four modes with specific deliverables, and then includes operational details (rate limits, SLA, caching). Every sentence contributes useful information without redundancy.

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?

The description covers all necessary context for a complex multi-mode tool: mode-specific inputs/outputs, data source reliability, API key conditions, performance expectations, caching behavior, and response statuses. Given the output schema exists, the description is thorough and leaves no critical gaps.

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 schema already documents parameters. The description adds some explanatory context about each mode's inputs (e.g., UN/LOCODE example, MMSI digit count), but this largely mirrors the schema's own descriptions. No significant additional meaning beyond the 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 clearly states the tool's purpose: 'Geospatial logistics intelligence for supply chain, maritime and transport agents.' It enumerates four distinct modes with specific actions (geocode_batch, routing, port_congestion, ship_tracking), each with concrete outputs (lat/lon, ETA, congestion status, AIS data). This distinguishes it from other tools in the sibling list.

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 gives clear context for each mode, including input types (UN/LOCODE, MMSI) and data sources. However, it does not explicitly contrast with alternative tools or specify when not to use it. The guidance is implicit in the mode descriptions rather than explicit exclusion or comparison.

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.