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IFSO condition types and limits

ifso_list_conditions
Read-onlyIdempotent

The kinds of condition an if-so payment can wait for (a date, a price at or by a deadline, a football league result, a Polymarket question, both people tapping OK, or a named referee), with example commands, the price tickers, the timing rules and the amount limits read from the contract. Use the example command format with ifso_prepare_payment.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "ifso_list_conditions"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.8/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false and openWorldHint=false, so the safety profile is covered. The description adds one genuinely useful behavioral detail – that timing rules and amount limits are 'read from the contract', signalling live/dynamic values rather than fixed documentation – but says nothing about freshness, caching, or how large the returned catalog is.

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 sentence that front-loads the resource and then groups the returned content, with the sibling reference last. It is dense but every clause carries information; the long parenthetical enumeration of condition kinds is the main reason it reads as heavy rather than tight.

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?

With no output schema and no parameters, the description carries the burden of explaining what comes back, and it does: condition kinds, example commands, tickers, timing rules and limits. What is missing is any sense of format or size of the payload, which for a reference-catalog tool would help the agent plan the following call.

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?

The tool takes zero parameters, so there is no parameter semantics for the description to compensate for; the baseline of 4 applies. Nothing in the description misleads about inputs.

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 resource precisely and enumerates the concrete condition kinds (date, price deadline, football league result, Polymarket question, mutual OK, named referee) plus the metadata bundled in (example commands, tickers, timing rules, limits). An agent can tell this is the discovery/reference tool for IFSO condition types, distinct from payment-execution siblings. It stops short of an explicit verb like 'list', but the content makes the operation unambiguous.

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 closing clause 'Use the example command format with ifso_prepare_payment' gives a concrete routing rule: consult this before composing a payment. There are no explicit exclusions or when-not conditions (e.g. what to do if none of the listed condition kinds fit), which is the only gap.

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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