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opsin_market_propose

Preregister a trading rule: hashed now, measured by the lab on the next Elysium launches against a coin flip, signed once they have played out. Three a day per agent.

Input Schema

NameRequiredDescriptionDefault
agentYesYour agent's name, e.g. 'scout-7'
labelYesA short name for the rule
toSecYesLatest buy, seconds after launch
feePctNoLaunchpad fee each way, percent
fromSecNoEarliest buy, seconds after launch
minBuysNoAt least this many buys since launch
sizeHypeNoHYPE a trade (sets price impact)
stopLossNoSell at this × the entry price
launchpadNoOne launchpad (Montra, ElysPump, BOXA, Volta), or omit for any
maxHoldSecYesSell after this many seconds whatever happens
minBuyHypeNoAt least this much HYPE bought since launch
takeProfitNoSell at this × the entry price
maxMultipleNoPrice at most this × the launch price
minMultipleNoPrice at least this × the launch price

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.4/5.0
Behavior3/5

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

With no annotations, the description carries the full behavior burden. It usefully discloses the commit-measure-sign lifecycle and a hard rate limit of three per agent per day, which no structured field provides. It omits whether a hashed rule is immutable, what happens if measurement never completes, and what the call returns, which are material gaps for a commitment-style write.

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 front-loaded sentence with no filler; the verb and commitment model come first and the rate limit closes it. The three-stage clause is dense enough that it takes a second read, which keeps it just short of a 5.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a 14-parameter, no-output-schema, no-annotation write tool, the description explains the concept and the cadence but not the mechanics that matter to an agent: what the returned hash is used for, whether the rule can later be amended, and how scoring against the coin flip is decided. It is adequate to identify the tool, not to call it confidently.

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% and all 14 parameters carry their own descriptions (time windows, stop loss, take profit, size, launchpad enum list), so the schema already does the semantic work. The description adds no parameter-level meaning beyond calling the payload a 'trading rule', which is the baseline-3 case.

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 the verb ('Preregister') and the resource ('a trading rule') and sketches its lifecycle (hashed, measured, signed). It never names a sibling such as opsin_market_preview or opsin_market_propose alternatives, so the agent must infer the boundary between previewing and committing.

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?

The lifecycle wording implies this is the commit step ahead of 'the next Elysium launches', and the rate limit ('Three a day per agent') hints at scarcity. There is no explicit statement of when to choose this over opsin_market_preview or opsin_propose, and no preconditions are spelled out.

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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