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Read a Points Frog program

get_points_program
Read-onlyIdempotent

Points Frog program valuation, sourced guide and direct calculator link. Estimates are not guaranteed cash value.

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": {
      "slug": "<slug>"
    },
    "name": "get_points_program"
  }
}

Input Schema

NameRequiredDescriptionDefault
slugYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.6/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false, and openWorldHint=false, so the safety profile is covered without help. The description does add real value beyond that by warning that 'estimates are not guaranteed cash value,' which tells the agent how to frame the returned numbers. It says nothing about error behavior, slug resolution, or response shape.

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

Conciseness3/5

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

Two short sentences with no filler, so there is no bloat to trim. The problem is under-specification rather than verbosity, and the opening fragment is a content list rather than a front-loaded statement of what the tool does. The disclaimer is well placed but arrives before the agent knows what operation it is disclaiming.

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

Completeness2/5

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

With no output schema and no parameter documentation, the description carries the full burden for a one-parameter lookup tool, and it falls short. It gestures at three returned artifacts (valuation, guide, calculator link) but does not say what the slug identifies, what happens on an unknown slug, or how this differs from the many sibling point-value tools.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0% for the single required 'slug' parameter, so the description is the only place semantics could be supplied — and it never mentions the parameter at all. It gives no hint about slug format, casing, or where an agent should source a valid slug (for example from search_programs).

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

Purpose3/5

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

The description is a noun phrase ('Points Frog program valuation, sourced guide and direct calculator link') rather than a verb+resource statement, so the agent must infer that it reads a single program record. It does hint at returned content (valuation, guide, calculator link), which puts it above a pure tautology. However, it never distinguishes itself from near-identical siblings such as get_program, get_point_value, and compare_point_programs.

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 and no named alternative, despite several sibling tools covering overlapping territory (get_program, get_point_value, get_point_value_history, value_points, compare_point_programs). The only usage constraint supplied is an implicit one about the trustworthiness of valuations.

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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