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Discount Rate Index (current benchmark rates)

discount_rate_index
Read-only

The public benchmark rates that govern structured settlement and annuity sales this month: the IRS applicable federal rates every disclosure must use, the prime rate, the statutory rate caps (North Carolina, Michigan, Nebraska) and the typical range of buyer discount rates, each with its primary source and date.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.8/5.0
Behavior4/5

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

Annotations already establish readOnlyHint=true and openWorldHint=false, so safety is covered. The description adds genuinely useful context beyond that: the data is current-month scoped and each value carries its primary source and date, which tells the agent about freshness and verifiability.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

It is a single dense sentence leading with the resource definition and then enumerating contents via a colon-separated list. Every clause contributes specific content; the only mild cost is the run-on length, but nothing is filler.

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?

With no output schema and no parameters, the description must carry the burden of explaining the return payload, and it enumerates the categories of rates returned plus their source/date metadata. That is close to complete for a zero-arg reference tool; only exact field shapes remain unspecified, which is minor.

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?

The tool takes zero parameters, so per the rubric the baseline is 4. There are no inputs whose semantics need explaining, and the description appropriately focuses on what the tool returns rather than inventing parameter detail.

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 names the specific resource — the public benchmark rates governing structured settlement and annuity sales — and enumerates its contents (IRS AFRs, prime rate, statutory caps, buyer discount ranges). It is clearly a data-retrieval tool and is distinguishable from siblings like value_payment_stream or state_transfer_rules, though no explicit verb frames the action.

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?

Usage is implied by the content: the tool surfaces current benchmark rates, so an agent facing a disclosure or rate-calculation task can infer it applies. However, it names no alternatives, prerequisites, or when-not-to-use conditions relative to 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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