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Advisors AI — Route a Store Need to a Service

Prepare a normal request link for a selected package

advisors_order_prepare_link
Read-onlyIdempotent

Use only after the user explicitly selects a package returned by the service tool. Returns the ordinary login/request link; it does not create an order, confirm eligibility, or charge anything.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
languageNoRequest-page language: ar or en.ar
package_idYesPublished package id returned by advisors_catalog_get_service.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
okYes
statusYes
packageYes
request_urlYes
creates_orderYes
charges_customerYes
attribution_statusYes
eligibility_statusYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.3/5.0
Behavior4/5

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

Annotations already declare readOnly, idempotent, and non-destructive behavior, and the description adds domain-specific transparency by stating it does not create an order, confirm eligibility, or charge anything. This is useful context beyond the raw annotation flags.

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?

Two concise sentences with the usage condition front-loaded and the behavioral exclusions clearly listed. No wasted words or redundant schema repetition.

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 tool is simple with only two parameters, full schema coverage, an output schema, and annotations covering safety behavior. The description fully covers the key prerequisite and side-effect expectations, leaving no critical gap for an agent to call it correctly.

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 both language and package_id are already well documented. The description reinforces that package_id must come from a previously selected package, but adds little new parameter-level 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 states a specific verb and resource: it prepares and returns a normal login/request link for a selected package, and explicitly distinguishes itself from order creation, eligibility confirmation, and charging. This clearly separates it from the catalog and site-check sibling tools.

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 a strong precondition: use only after the user explicitly selects a package returned by the service tool. It also clarifies what the tool does not do, though it does not name alternative tools for those other operations.

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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