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Foresea Forecasting

foresea_preview_order

Validate, normalize, and simulate guardrail checks for a real Kalshi or Polymarket order without submitting it to the exchange.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
slugNo
priceYes
actionYes
tickerNo
outcomeYes
platformYes
quantityYes
token_idNo
post_onlyNo
order_typeNolimit
time_in_forceNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

B3.4/5.0
Behavior4/5

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

With no annotations provided, the description carries the full burden and does disclose the single most important trait: this performs no side effects (no exchange submission) and instead runs validation, normalization, and guardrail simulation. It does not mention auth requirements, rate limits, or failure modes, but the safety profile is clearly conveyed.

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?

A single front-loaded sentence with zero filler; the key constraint (no submission) lands at the end of the clause where it is most load-bearing.

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

Completeness2/5

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

For an 11-parameter mutation-adjacent tool with no annotations and 0% schema coverage, the description is too thin: it leaves the meaning of most parameters and the allowed platform/order-type values entirely undocumented. The existence of an output schema excuses it from explaining return values, but the input side remains materially incomplete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0% across 11 parameters, so the description must compensate and largely does not. It only hints at the platform values (Kalshi/Polymarket) via the prose; action, outcome, order_type, time_in_force, ticker, slug, token_id, price, and quantity receive no explanation of accepted values or semantics.

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 uses three precise verbs (validate, normalize, simulate) against a well-defined resource (a Kalshi or Polymarket order) and explicitly negates submission, which cleanly separates it from the sibling foresea_place_order. It stops short of naming that sibling, but the 'without submitting it to the exchange' clause makes the distinction unmistakable.

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?

It implies the pre-submission use case ('without submitting it') but never states when to call this versus foresea_place_order, nor any prerequisites such as authentication or needing an existing market slug/ticker. The routing logic is left to inference.

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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