List GetFit contributors
list_contributorsWho posts workouts on GetFit? Lists people with published workouts: handle, name, bio, location, workout count. No inputs.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
list_contributorsWho posts workouts on GetFit? Lists people with published workouts: handle, name, bio, location, workout count. No inputs.
| 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 readOnly, idempotent, closed-world and non-destructive, so the safety profile is covered. The description still adds real value by disclosing the returned attributes (handle, name, bio, location, workout count), which is the main unknown for an agent with no output schema; only pagination/ordering behavior is undisclosed.
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?
Three short sentences, purpose front-loaded and zero filler. The opening rhetorical question is slightly indirect compared to a direct verb-first statement, but it costs almost nothing.
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 list with full annotation coverage, the description covers what the tool is, that it takes nothing, and roughly what comes back. It stops short of noting ordering or whether the result set is bounded/paginated, the one remaining gap.
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?
There are zero parameters and the description correctly says so ('No inputs'), matching the empty schema. Baseline 4 applies for a no-parameter tool with nothing left to disambiguate.
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?
States a specific verb and resource — lists people with published workouts — and enumerates the fields returned (handle, name, bio, location, workout count). The plural 'lists' plus the field set clearly distinguishes it from the single-record sibling get_contributor and from the workout-oriented siblings.
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?
Usage is only implied: an agent can infer this is the browse-all path versus get_contributor for one person, but the description never names that alternative or any exclusion. 'No inputs' does helpfully signal a bare call needs no setup.
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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