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Problee

by com.problee
OverviewDiscussionsAdmin

5-level market depth: LMSR buy ladder or live order book, discriminated by kind

problee_get_market_depth
Read-onlyIdempotent

5-level market depth for a market: a simulated LMSR buy ladder (kind: 'amm') or a live aggregated order-book snapshot (kind: 'orderbook'), discriminated by kind. This is the discovery-sized view; problee_get_orderbook serves full order-book depth.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "address": "<address>"
    },
    "name": "problee_get_market_depth"
  }
}

Input Schema

NameRequiredDescriptionDefault
addressYesMarket contract address.
chainIdNoChain id; probes enabled chains if omitted.

Output Schema

NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.3/5.0
Behavior4/5

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

Annotations already cover readOnly/idempotent/destructive/openWorld, so the bar is lower and the description still adds value: it distinguishes a simulated LMSR buy ladder from a live aggregated order-book snapshot and implies a point-in-time snapshot. It doesn't mention auth or rate-limit behavior, but the mode semantics are a genuine addition.

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?

Two sentences, no waste, and the mode/discriminator detail is front-loaded before the routing hint to the sibling tool.

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?

An output schema exists, so return-value detail needn't be in the description; what's left — the two possible depth shapes and where to go for full depth — is exactly what an agent needs to call this correctly.

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%, so address/chainId semantics are already fully documented and the description adds nothing about them. The `kind` discriminator it mentions refers to the response shape rather than an input, so param-level value is baseline.

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?

States a specific verb+resource (market depth, 5 levels) and names the two modes it can return, discriminated by `kind`. It explicitly situates itself against the sibling problee_get_orderbook, so an agent can tell them apart without opening either schema.

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?

Frames itself as the 'discovery-sized view' and routes full-depth consumers to problee_get_orderbook, which is clear context. It doesn't state an explicit when-not condition (e.g. when depth beyond 5 levels is unnecessary), but the alternative routing is unambiguous.

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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