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fire_sandbox

Test the full Forge watch, fire, and settle loop on a built-in sandbox endpoint without onboarding machines or paying for Pro tier. Receives webhook, anchors result on Solana mainnet, and returns verification link.

Instructions

Demo the full Forge watch→fire→settle loop against a built-in sandbox endpoint. Free tier; no machine onboarding required.

The MCP server POSTs {message, condition: condition_text, ts} to its own /sandbox/echo route — a real HTTP round-trip with a real response body — then hashes the response and anchors it on Solana mainnet via the MINT relay. Returns the echo body, the tx_signature, and a Solscan verify_url.

USE WHEN: a developer is evaluating Forge and wants to feel the full loop (a webhook actually fires, a real Solana tx actually settles, the Solscan link actually verifies) without onboarding any machines or paying for the Pro tier. 10 fires lifetime per fnet_ key.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
condition_textYesA plain-English description of the condition the sandbox is simulating, e.g. "Spindle load crossed 85%".
messageNoThe payload text the sandbox webhook receives. Defaults to a representative example.Spindle load crossed 85%. Sandbox demo fire.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

With no annotations, the description carries the full burden. It discloses that the tool makes an HTTP POST to a sandbox endpoint, hashes the response, and anchors it on Solana mainnet. It also mentions the lifetime limit of 10 fires. This is sufficient transparency for a demo tool, though it could specify authorization needs or potential costs (but the 'Free tier' note implies no cost).

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 concise and well-structured: first paragraph states purpose and output, second explains the process, third gives usage guidelines. Every sentence earns its place with no fluff.

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 description covers purpose, usage context, parameter semantics, behavior, and output. An output schema exists, and the description adequately explains the return values (echo body, tx_signature, verify_url). No gaps for this tool's complexity.

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?

Schema coverage is 100% with descriptions. The tool description adds value by explaining how parameters are used in the request (e.g., 'POSTs {message, condition: condition_text, ts}'), which goes beyond the schema definitions.

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 tool's purpose: 'Demo the full Forge watch→fire→settle loop against a built-in sandbox endpoint.' It uses specific verbs and resources, and the context distinguishes it from sibling tools which focus on automations and queries. No tautology.

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 includes a 'USE WHEN' section that explicitly states when to use the tool: 'a developer is evaluating Forge... without onboarding any machines or paying for the Pro tier.' It provides clear context but does not mention when not to use it or name alternatives beyond the implicit context of sibling tools.

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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