Skip to main content
Glama
Analog-Labs

Firestarter MCP Server

by Analog-Labs

firestarter_return

Destructive

Initiate a return for a purchased order, generate a return shipping label, and process the refund. Resolve buyer issues like wrong size, damage, or not-as-described items.

Instructions

Initiate a return for a purchased order. Creates a return shipping label and processes the refund. Use when a buyer wants to return an item, get a refund, or reports a problem with their purchase.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
reasonNoReason for the return (e.g. 'wrong size', 'damaged', 'not as described')
execution_idYesThe execution/order ID to return (exec_...)
Behavior3/5

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

Annotations include destructiveHint=true and idempotentHint=false. The description adds some behavioral context ('creates shipping label', 'processes refund') but does not elaborate on side effects, irreversibility, or refund timing. It is consistent with 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 two sentences, front-loaded with the primary action, and the second sentence gives usage guidance. No wasted words.

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 simple 2-parameter tool with annotations and no output schema, the description covers purpose, usage, and basic behavior. It could mention prerequisites, but the schema covers parameters, so it is reasonably 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 fully documents both parameters. The description adds no additional meaning beyond what the schema already provides, earning the baseline 3.

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 action ('Initiate a return'), the resource ('purchased order'), and the specific outcomes ('Creates a return shipping label and processes the refund'). This distinguishes it from sibling tools like 'cancel' or 'track_order'.

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?

Provides explicit context for when to use ('when a buyer wants to return an item, get a refund, or reports a problem'). However, it does not mention alternatives or exclusions (e.g., when cancellation is more appropriate).

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/Analog-Labs/firestarter-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server