gpufeed_get_history
Return persisted verified GPU price observations.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| gpu | Yes | ||
| days | No | ||
| limit | No | ||
| provider | No |
Output Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Return persisted verified GPU price observations.
| Name | Required | Description | Default |
|---|---|---|---|
| gpu | Yes | ||
| days | No | ||
| limit | No | ||
| provider | No |
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
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 disclosure burden and largely fails it: no mention of permission requirements, rate limits, default lookback window, result cap, or whether missing data is omitted versus interpolated. 'Verified' hints at a data-quality filter but is never defined, so the agent cannot know what observations are actually excluded.
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?
It is a single front-loaded sentence with zero padding, which is structurally clean. But at this length for a four-parameter tool it is under-specified rather than concise, so it cannot rate highly on this dimension.
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?
The existence of an output schema excuses the description from explaining return shape, but everything else is missing: no parameter meaning, no usage context, no behavioral caveats, and no differentiation from sibling price tools. For a query tool with four inputs and zero annotation coverage, this is too thin to call complete.
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 0% and the description adds nothing about any of the four parameters. The roles of 'gpu', 'days' (default 7), 'limit' (default 100), and 'provider' (default empty string) — including what an empty provider means and what units 'days' uses — are entirely undocumented.
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 states a verb+resource ('Return ... GPU price observations') and adds a distinguishing qualifier, 'persisted verified', that separates it from live-quote tools. However, it never mentions the historical/time-series nature implied by the name 'get_history', and it does nothing to separate it from siblings like gpufeed_get_price_index or gpufeed_get_cheapest.
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 explicit when-to-use statement and no named alternative. The word 'persisted' weakly implies this is for retrospective rather than current data, but that is inference, not guidance, and the agent is left to guess how this differs from the five other price-related siblings.
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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