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ESGO-Logistics

ESGO MCP Server

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Search matching capacity

matches_search
Read-onlyIdempotent

Search road freight capacity that fits a shipment's origin, destination, weight, loading needs and required services. Returns route, time and free-capacity matches with non-binding price estimates.

Instructions

Search matching capacity

Finds trips whose route, time and free capacity fit your shipment. Prices are non-binding estimates; a fixed price is the standing offer of the carrier. Counts against the daily quota "matches_search".

Required API key scope: matches:read.

Input Schema

NameRequiredDescriptionDefault
originYesOrigin, ideally postcode and city.
weight_kgYesCargo weight in kilograms.
destinationYesDestination, ideally postcode and city.
service_idsNoRequired additional services (ESGO service IDs).
loading_metersNoLoading meters needed (max 13.6).
loading_requirementNoHow the cargo has to be loaded. "any" never filters; "seite" (side) and "oben" (top) exclude box bodies; "heck" means rear loading.any

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.1

TDQS

A3.7/5.0
Behavior4/5

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

Annotations already cover safety (readOnly, idempotent, openWorld, non-destructive), but the description adds real operational context the annotations do not: it consumes a daily quota named "matches_search" and requires the matches:read scope. It also warns that prices are non-binding estimates, which is behaviorally useful. It stops short of describing pagination or result caps.

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?

Dense and front-loaded: the purpose sentence comes first, followed by pricing caveat, quota, and scope. The only waste is the leading line restating the title verbatim.

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?

With no output schema, the description carries some return-value burden and does partly address it by saying results are trips fitting route, time and free capacity, with non-binding prices. Quota and auth scope are also covered. A brief note on result ordering or limits would make it fully 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 the schema already documents all six parameters including the loading_requirement enum semantics. The description adds nothing beyond that, so the baseline 3 is appropriate.

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 states a specific verb and resource relationship: it "Finds trips whose route, time and free capacity fit your shipment." That is materially clearer than the title alone. It does not, however, distinguish itself from the sibling open_requests_list_matches, which an agent could plausibly confuse with this search.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Usage is only implied by the inputs required (origin, destination, weight) and the quota/auth notes. There is no explicit statement of when to call this versus the sibling list-matches tool, and no exclusions or prerequisites beyond the read scope.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.