See training goals
list_training_goalsTraining goals (hypertrophy, weight loss...) used in the library.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
list_training_goalsTraining goals (hypertrophy, weight loss...) used in the library.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true, destructiveHint=false, and openWorldHint=false, so safety is covered. The description adds that these are library-level goal types (a static taxonomy), but says nothing about result size, ordering, or whether the list is user- or account-specific.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
A single compact sentence that is front-loaded with the resource name. The leading ellipsis in 'hypertrophy, weight loss...)' is slightly sloppy but costs little.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a zero-parameter read-only lookup with annotations covering safety and no output schema, the description is sufficient to call it correctly. Minor gap: it does not state that the returned values are the valid keys to pass to goal-related tools.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The tool takes zero parameters, so there is no parameter semantics to explain and the baseline of 4 applies. The description correctly implies no input is required to retrieve the goal list.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
Names the resource (training goals) and gives concrete examples (hypertrophy, weight loss) that identify it as a fixed option catalog rather than a per-student record. The qualifier 'used in the library' hints it is the taxonomy behind other tools, though it never explicitly contrasts with list_student_goals or create_goal.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no explicit when-to-use statement, no prerequisites, and no mention of alternatives. An agent can only infer that this is the source of valid goal values; nothing states when to call it versus list_student_goals.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.