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Glama

Prepare a Bopster market launch

prepare_market_launch

Validates a confirmed askQuestion transaction against the drafted market and returns the unsigned createMarket transaction needed to launch it.

Instructions

Step 3 of creating a Bopster market. Only launches drafts prepare_market_question built: pass its next.arguments unchanged, plus the question tx hash. Reads the confirmed askQuestion transaction, checks it is exactly the drafted question (same text, asker, arbitrator, answer window and opening time), and returns the unsigned createMarket transaction. Non-custodial: nothing is signed or sent here.

Input Schema

NameRequiredDescriptionDefault
walletYesThe wallet that will sign and send the transactions (0x...). Balances and positions are read for this address.
end_timeYesUnix seconds, from prepare_market_question.
questionYesThe question text, from prepare_market_question.
draft_tokenYesFrom prepare_market_question. Proves this server drafted the market.
metadata_uriYes
resolve_timeYesUnix seconds, from prepare_market_question.
question_tx_hashYesHash of the confirmed askQuestion transaction.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A4.6/5.0
Behavior4/5

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

With no annotations, the description carries the full burden and does well: it discloses that the tool reads a confirmed transaction, verifies exact matchup against the draft, returns an unsigned transaction, and is non-custodial ('nothing is signed or sent here'). It does not cover failure behavior on mismatch, fees, or idempotency, so it falls short of a 5.

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 workflow step is front-loaded, followed by the prerequisite, verification behavior, return value, and non-custodial note. Every sentence earns its place and no space is wasted.

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 7-required-parameter preparation tool with no output schema, the description explains what is returned (an unsigned createMarket transaction) and how verification works. It is nearly complete, though it could note what happens when verification fails or what the caller should do next with the returned transaction.

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 high (86%), so the baseline is 3. The description adds meaningful provenance guidance beyond the schema by instructing that `next.arguments` be passed unchanged and that the question tx hash be supplied alongside it. It reinforces the relationship between the draft token and prior tool output without restating every field.

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 ('Prepare a Bopster market launch') and precisely locates it as step 3 of the creation flow. It distinguishes itself from prepare_market_question by making clear that it only launches drafts that tool built.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

It explicitly says 'Only launches drafts prepare_market_question built' and tells the caller to pass that tool's `next.arguments` unchanged, plus the question tx hash. This gives a clear prerequisite and alternative routing rule with no inference required.

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