get_history
Tracked daily price history for an item (history may be young).
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| q | Yes | The item |
Tracked daily price history for an item (history may be young).
| Name | Required | Description | Default |
|---|---|---|---|
| q | Yes | The item |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full behavioral burden, and it does add one genuine trait: the data set may be young, warning the agent that returned history can be sparse or incomplete. It says nothing about what happens when no history exists, how far back the series goes, or the return shape, so it only partially compensates for the missing annotations.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
A single front-loaded sentence with the resource stated first and the caveat parenthetically appended; nothing is wasted. Slightly telegraphic but efficient.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a one-parameter read tool with full schema coverage, the description covers the core purpose adequately, but with no output schema it leaves the return structure and the empty-history case unexplained. The 'history may be young' caveat partly covers this gap.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100% and there is exactly one parameter (q), so the schema already documents it. The description's phrase 'for an item' loosely maps to q but adds no format or syntax detail beyond the schema, which is the expected baseline.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description names a specific resource and granularity ('Tracked daily price history for an item'), which is concrete enough for an agent to know it returns a time series of prices. It does not differentiate this tool from the similarly named siblings get_sold or get_worth, so it falls short of a 5.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no statement of when to use this tool versus get_worth, get_sold, or check_deal, and no prerequisites or exclusions are given. The only guidance is an implicit hint that data may be incomplete.
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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