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List services

list_services
Read-only

The services sold online with their unit, whether get_quote can price them, their "from" price in every currency (VAT included where it applies), the currencies, speeds and certifications get_quote accepts, the volume discount tiers and what counts as a page.

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.4/5.0
Behavior3/5

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

The readOnlyHint annotation already signals a safe read operation, and the description adds useful context about what the returned data includes: units, currencies, quote eligibility, pricing, speeds, certifications, and discount tiers. It does not describe pagination, response format, or any operational constraints, so it adds some value but is not behaviorally rich.

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 definition is a single compact sentence with no filler, and it front-loads the resource being described. The list of returned fields is dense but every clause is relevant, though the lack of an explicit action verb slightly weakens structural clarity.

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 must carry the burden of explaining what the tool returns, and it does so by enumerating services, quote eligibility, prices, currencies, speeds, certifications, discount tiers, and page definitions. It is nearly complete for a no-parameter list tool, though it could more explicitly state that the tool returns all services.

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

Parameters4/5

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

The tool has zero parameters, so the baseline is 4. The description appropriately avoids inventing parameter details, and the rich return-value summary is more relevant than parameter semantics for this no-argument tool.

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 identifies the resource clearly as services sold online and lists the data returned, which lets an agent distinguish this from quote-pricing siblings like get_quote. However, it is written as a noun phrase rather than an explicit verb-resource statement such as 'List services...,' so it stops short of maximum clarity.

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?

The description does not state when to call list_services versus get_quote, list_countries, or other siblings. It mentions get_quote in terms of what data is returned, but gives no explicit usage conditions or exclusions.

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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