Skip to main content
Glama

get_order_link

Online ordering link (Toast) for pickup and Sole Mio's own delivery, with the delivery fee and related notes.

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior3/5

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

No annotations exist, so the description carries the full burden. It does disclose the meaningful output content — a link, the delivery fee, and related notes — which is useful behavior beyond a bare name. However, it does not clarify whether the link is static or dynamic, whether the fee is always present, or how pickup vs. own-delivery options are represented.

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?

A single dense sentence front-loads the resource and platform, then adds scope details. Nothing is padded, though the trailing 'and related notes' is slightly vague filler.

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?

For a zero-parameter, no-annotation, no-output-schema read tool, the description covers what is returned (link, delivery fee, notes) and the ordering contexts it serves. An agent can call it correctly; only minor gaps remain around link dynamics and how pickup/delivery variants are surfaced.

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 takes zero parameters, so there is nothing for the description to disambiguate; baseline 4 applies. The description correctly implies a no-argument fetch by never referencing any inputs.

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 names a specific resource — an online ordering link (Toast) covering pickup and Sole Mio's own delivery, plus the delivery fee and notes. That is far more than a restatement of the name and lets an agent recognize it as the ordering link rather than a menu or reservation tool, though it never explicitly contrasts it with the adjacent get_reservation_link.

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 implied: the pickup/delivery phrasing signals 'use this when a customer wants to place an order.' But there is no explicit when-to-use statement, no exclusion such as 'use get_reservation_link for table bookings,' and no mention of prerequisites, so the agent must infer routing among the many sibling tools.

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

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

Resources