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One program's points value in full

get_point_value
Read-onlyIdempotent

One rewards program on Points Frog: its estimated value per point or mile, what 10,000, 50,000 and 100,000 are worth, the lines between a great, fair and poor award, its dated valuation history and any documented devaluations, where to buy its points, and its program page, award checker and embeddable calculators.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "program": "<program>"
    },
    "name": "get_point_value"
  }
}

Input Schema

NameRequiredDescriptionDefault
programYesProgram slug, name or airline code, e.g. skymiles, "World of Hyatt" or DL

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.1/5.0
Behavior3/5

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

Annotations already declare readOnly, idempotent, closed-world and non-destructive, so safety is covered. The description adds that the payload is a bundled record of many sub-sections, but says nothing about behavior for unknown programs (error vs empty), missing valuation data, or result size.

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 whole description is a single long run-on sentence enumerating returned fields, so the core action is buried in an inventory. It is not padded with fluff, but the structure makes the purpose harder to extract than it needs to be.

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, the field enumeration genuinely compensates by telling the agent what the response contains. The remaining gap is error/empty behavior for an unrecognized program slug, which is absent from both schema and description.

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 coverage is 100% and the schema already explains that the program argument accepts a slug, a display name, or an IATA code with examples. The description says only 'One rewards program' and adds no extra meaning about accepted identifier forms or disambiguation.

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 makes clear this returns the full valuation record for a single rewards program (value per point, tier thresholds, history, buy links, calculators). It stops short of 5 because it never distinguishes itself from nearby siblings such as list_point_values, get_point_value_history and value_points, despite the field overlap.

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

Usage Guidelines2/5

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

There is no when-to-use guidance, no mention of alternatives, and no stated preconditions. An agent must infer from the name alone that this is the single-program detail lookup versus the list or history tools.

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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