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x402-annuity-pv

Annuity Pv: Annuity Pv

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
rateNoRate to process
paymentNoPayment to process
periodsNoPeriods to process

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed3 schema fields changed
    • addedInput schema / properties / payment
      Added value: +{
      +  "description": "Payment to process",
      +  "type": "string"
      +}
    • addedInput schema / properties / periods
      Added value: +{
      +  "description": "Periods to process",
      +  "type": "string"
      +}
    • addedInput schema / properties / rate
      Added value: +{
      +  "description": "Rate to process",
      +  "type": "string"
      +}
  2. First observed

TDQS

D1.7/5.0
Behavior1/5

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

No annotations are provided, so the description carries the full behavioral burden and discloses nothing: no sign conventions, no statement about whether this is an ordinary annuity (end-of-period) or annuity-due, no units for rate or periods, and no return format. For a financial computation tool this is a complete gap.

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

Conciseness2/5

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

The text is short but not concise in a useful sense: it is under-specified filler that repeats the title, so the brevity reflects missing content rather than efficient front-loading.

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

Completeness1/5

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

With no annotations, no output schema, and three loosely described parameters, the description should explain the computation, assumptions, and expected result. It explains none of them, leaving the agent unable to invoke the tool correctly or interpret its output.

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 the schema technically documents all three parameters, making 3 the baseline even though the description adds nothing. Note the schema text itself is weak ('Rate to process'), but the rubric assigns baseline 3 when coverage is high.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose2/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description 'Annuity Pv: Annuity Pv' is a pure tautology that restates the tool name twice without adding a verb, scope, or output. An agent can guess this computes the present value of an annuity from the name alone, but the description contributes nothing beyond that, and it does not distinguish itself from the sibling x402-annuity-fv.

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

Usage Guidelines1/5

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

There is no when-to-use guidance, no conditions, and no mention of alternatives such as x402-annuity-fv or x402-present-value. Nothing in the text tells the agent when this tool is the right choice.

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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