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Get item price history

get_item_price_history

Retrieve flea market price history for any item, showing minimum and average prices with timestamps. Extend beyond the default 30 days to analyze long-term trends.

Instructions

Get flea market price history (min price, average price, timestamp) for one item. The full history can span years and thousands of points; by default only the last 30 days are returned — widen with days.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
daysNoHow many days of history to return, counting back from the most recent point.
gameModeNoGame mode to query. Defaults to the server's configured game mode ("regular").
idOrNameYesItem id or name.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

B3.4/5.0
Behavior3/5

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

With no annotations provided, the description carries the behavioral disclosure burden. It usefully discloses the default 30-day window and that full history can span years and thousands of points, but it does not mention output structure, error behavior, or authentication requirements.

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 with no filler. The core purpose is front-loaded, and the important default behavior is stated immediately after. Every sentence earns its place.

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 simple query tool with fully documented parameters, the description covers purpose, returned data points, and key default behavior. It does not explain return formatting, but there is no output schema and the schema covers parameter semantics adequately.

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 the schema already documents all three parameters. The description adds context for the `days` parameter by explaining the default and how to widen the window, but it does not meaningfully enrich `idOrName` or `gameMode` beyond the schema.

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 states a specific verb ('Get'), resource ('flea market price history'), and scope ('for one item'), and lists the returned data points (min price, average price, timestamp). It is clearly distinct from siblings like get_item or search_items, though it does not explicitly name an alternative.

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

Usage Guidelines2/5

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

No guidance is given on when to use this tool versus siblings such as get_item or search_items. The description implies it is for price history queries, but it does not state exclusions or alternatives, leaving tool selection to inference.

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