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Get priority

get_priority
Read-onlyIdempotent

Read the player's training priority: the active one with its starting figure and the same figure now over the rounds since it started (better, same, worse or too few rounds, with its margin), its exercise and how often they practised it; with none active, the single priority their numbers propose; and earlier priorities with their outcome. Use it for «what should I practise?» or «have I improved?». For a fresh measurement after a round use measure_priority; set_priority proposes the suggested one only if the player chooses it. Read-only.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "get_priority"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.4/5.0
Behavior4/5

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

Annotations already declare readOnlyHint/destructiveHint=true/false and idempotent, so the safety profile is covered and the closing "Read-only." is largely redundant. The description does add real behavioral context beyond annotations: the trend classification vocabulary (better, same, worse, too few rounds with margin), the fallback to a proposed priority when none is active, and the inclusion of earlier priorities with outcomes. It omits nothing critical, though it does not say how large the history window is.

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?

Front-loaded with the core purpose, and every clause carries information, but the opening sentence is an overlong chain of nested clauses listing return fields, which makes it hard to scan. The usage sentence and routing sentence come after the field inventory rather than before, so structure could be tighter.

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?

No output schema exists, and the description compensates by enumerating the returned elements and their classifications. It remains slightly abstract about the actual figures/formats (what a "starting figure" or "margin" numerically looks like), which is a small gap for a rich read tool.

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?

Zero parameters, so the baseline applies; the description correctly implies the call is implicitly scoped to "the player" with no arguments needed. Nothing more could be added at the parameter level.

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

Purpose5/5

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

Specific verb (read) plus a precise resource (the player's training priority) and an enumeration of what is returned: active priority with starting figure and current figure, trend over rounds, margin, exercise, practice frequency, plus a proposed priority and past priorities. It explicitly distinguishes itself from measure_priority and set_priority, so an agent can separate it from siblings without opening schemas.

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

Usage Guidelines5/5

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

Names two concrete user intents ("what should I practise?", "have I improved?") and routes alternatives explicitly: measure_priority for a fresh measurement after a round, set_priority when the player chooses the suggested priority. When-to-use and when-not-to-use are both stated.

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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