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Glama

write_dumbbell_rack

Destructive

Set your owned dumbbell weights so the app adjusts progression, deloads, warm-ups, drop sets, and +/− buttons to available dumbbells. An empty list removes the rack; logged workouts stay unchanged.

Instructions

The dumbbells the user owns, single bells in the profile unit (e.g. [2, 4, 6, 8, 10, 12.5]); an empty list removes the rack. The app then moves progression, deloads, warm-ups, drop sets and the +/− buttons of dumbbell exercises onto weights that exist. Kept per unit; nothing logged changes.

Input Schema

NameRequiredDescriptionDefault
weightsYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.1.0

TDQS

A3.6/5.0
Behavior4/5

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

The destructiveHint=true annotation is backed up concretely: an empty list removes the rack, and the description spells out the downstream propagation to progression, deloads, warm-ups, drop sets and the +/− buttons of dumbbell exercises. 'Kept per unit; nothing logged changes' adds a reassuring scope boundary (per-unit isolation, historical logs untouched) that the annotations do not convey. This is solid evidence-based disclosure well beyond the annotation surface.

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

Conciseness4/5

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

Two dense sentences with no filler; the value semantics and the empty-list behavior come first. It opens with the parameter rather than the action, which reads slightly oddly for a tool that mutates state, but nothing is wasted.

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 single-parameter mutation with no output schema, the description covers input meaning, the removal case, per-unit scoping, and downstream effects. The main omission is any hint of permission requirements or the sibling write_dumbbell_load comparison, which is the one thing an agent could realistically get wrong.

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?

Schema coverage is 0%, so the description must carry the parameter, and it does: weights is an array of single bells (not pairs), expressed in the profile unit, with a concrete example [2, 4, 6, 8, 10, 12.5], and an empty list has the specific meaning of 'remove the rack'. It does not restate the schema's bounds (max 1000 per item, maxItems 100), but those are already in the schema.

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?

The description clearly identifies the resource — the user's owned dumbbell set — and the format (single bells in the profile unit), so an agent knows this defines the rack rather than logging a lift. However, it never states an action verb and does not distinguish itself from the closely named sibling write_dumbbell_load, which an agent could easily confuse for the same operation.

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 explicit when/when-not guidance and no named alternative. The sibling write_dumbbell_load sits adjacent and the description never explains the division of labor between setting the rack versus recording a load, leaving the agent to infer it from the name alone.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.