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pricing_series

Read-only

Retrieve daily price points for an AI model over a customizable window. Free for up to 7 days; extended windows (8-90 days) include min/max/delta summary at 1 credit cost.

Instructions

Daily price points for one AI model over a window. days 1 to 7 is free; days 8 to 90 costs 1 credit ($0.02) and needs a TENSORFEED_TOKEN, adding the min/max/delta summary over the longer window. Get credits at tensorfeed.ai/developers/agent-payments.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
modelYesModel id or display name (e.g. "Claude Opus 4.7" or "claude-opus-4-7").
daysNoWindow length (default 7). 1 to 7 free; 8 to 90 costs 1 credit.
Behavior4/5

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

Annotations already declare safe read-only operation. Description adds key context: credit cost, token requirement, and addition of min/max/delta summary for longer windows. No contradictions.

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 well-structured sentences. First delivers core purpose, second details cost, token, and summary. Front-loaded, no redundancy.

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?

Adequately explains cost model, token need, and summary addition. Lacks explicit output format description, but given no output schema, the hints are sufficient for a simple data retrieval tool.

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?

Schema covers 100% parameters with descriptions. Description adds value by specifying token requirement and output summary behavior not in schema, though partially repeats cost info already present.

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?

Clearly states it provides 'daily price points for one AI model over a window', indicating time-series data. Mentions free/paid tiers and summary statistics. Differentiates from siblings like 'get_model_pricing' by name and scope, but does not explicitly contrast.

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

Usage Guidelines3/5

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

Describes when to use (free for 1-7 days, paid for 8-90 days) and prerequisites (TENSORFEED_TOKEN for paid windows). No explicit alternatives or when-not-to-use guidance, leaving selection among siblings implied.

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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