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daiduo2

strength-training-mcp

by daiduo2

explain_principle

Explains a training science principle with source citation, covering topics like RPE autoregulation and DUP periodization. Returns the principle, citation, and related tools.

Instructions

Explain a training science principle with source citation. Topics include: rpe_autoregulation, dup_periodization, banister_model, deload_triggers, volume_landmarks, etc. Returns body + source_citation + related_tools.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
topicYesPrinciple ID (see /docs/rts-principles.md for full list)
Behavior4/5

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

Description discloses return fields (body, source_citation, related_tools) beyond the input schema, providing useful behavioral context. No annotations to complement or contradict.

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?

Two sentences succinctly convey purpose, examples, and output, with no wasted words. Front-loaded with the core action.

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?

For a simple lookup with one parameter and no output schema, the description adequately covers purpose, examples, and return structure, though it could explicitly differentiate from siblings.

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?

The single parameter 'topic' has a description in the schema referencing an external doc; the tool description adds example topics and return info, but adds limited extra meaning beyond schema coverage of 100%.

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?

Description clearly states it explains a training science principle with source citation, listing example topics and return structure, effectively distinguishing from siblings like 'recommend_session_for_today' and 'lookup_exercise_form'.

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?

No explicit guidance on when to use this tool versus alternatives. While example topics are given, there is no mention of prerequisites or when to choose it over sibling 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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