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I Bond Rate MCP

Get I bond rate for an issue date

get_i_bond_rate_for_issue_date
Read-onlyIdempotent

For an I bond bought in a given month: its fixed rate, the composite rate it earns in the current (or given) 6-month period, the months its rate changes, whether it can be cashed and the penalty, and every rate period since issue. Computed from the TreasuryDirect rate chart effective November 1, 2026.

Input Schema

NameRequiredDescriptionDefault
as_of_monthNoMonth to evaluate, YYYY-MM. Default: the current month.
issue_monthYesIssue month of the bond as YYYY-MM, for example "2023-01". The issue date is the first of the month you bought it.

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 declare readOnly, idempotent, non-destructive and closed-world, so the safety profile is covered. The description adds genuinely new context the annotations cannot convey: the values are computed from the TreasuryDirect rate chart effective November 1, 2026, and the response spans the full lifetime of the bond including redemption status and penalty.

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 that front-loads the subject ('For an I bond bought in a given month') and then lists returns in a logical order. Every clause carries information; the only cost is that the list-form sentence is somewhat long without sub-structure.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

There is no output schema, so the description carries the burden of describing return values, and it does so comprehensively — every major field of the result is named. With only two parameters, both fully described in the schema, and a stated data source, an agent has everything needed to call this correctly.

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 both issue_month and as_of_month are already documented with format examples. The description reinforces the issue-month semantics ('bought in a given month') and hints that as_of_month selects the evaluation period via 'current (or given) 6-month period', but adds no syntax or edge-case detail 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 names a specific verb-and-resource pair ('For an I bond bought in a given month') and enumerates the exact outputs: fixed rate, composite rate, rate-change months, redemption eligibility and penalty, and full rate history. That is far more specific than the sibling names alone would allow, though it never explicitly contrasts itself with get_current_i_bond_rate or get_i_bond_rate_history.

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 only implied by the phrase 'bought in a given month' and by the as_of_month's 'current (or given)' wording. There is no explicit statement of when to prefer this over get_current_i_bond_rate, get_i_bond_rate_history, or calculate_i_bond_composite_rate, and no exclusions or prerequisites are given.

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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