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Add a training goal option

create_training_goal

Adds a training goal (e.g. "Corrida de rua") to the options the trainer picks from.

Input Schema

NameRequiredDescriptionDefault
nameYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.5/5.0
Behavior3/5

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

Annotations already declare this is a non-read-only, non-destructive, open-world write, so the safety profile is covered. The description adds useful scoping context — that the goal becomes a selectable option in the trainer's picklist — but says nothing about duplicate-name handling, validation, permissions, or what is returned, which matters for a create operation.

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

Conciseness5/5

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

A single front-loaded sentence with the resource, the effect, and a concrete example. No filler or redundancy.

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

Completeness3/5

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

For a one-parameter create tool with annotations present and no output schema, the description covers the core intent but leaves gaps: whether an existing goal with the same name causes an error, and what the call returns (e.g., the created goal with its id for later rename_training_goal calls).

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 0%, so the description must compensate, and it partially does by giving an example ('Corrida de rua') that implies the parameter is a human-readable display label. It does not state constraints such as uniqueness, max length, or whether the name is user-visible/localized.

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?

Specific verb+resource ('Adds a training goal') with a concrete example value ('Corrida de rua') and the qualifier 'to the options the trainer picks from', which clarifies this creates a catalog option rather than assigning a goal to a student. It does not name the near-siblings create_goal or list_training_goals explicitly, so differentiation is inferred rather than stated.

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: the agent can infer this is for adding a new selectable goal option, but the description never states when to use this versus create_goal, update_goal, or rename_training_goal. No prerequisites, no exclusions.

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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