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loaditout-mcp-server

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review_skill

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Instructions

Leave a rating and optional comment for a skill you have used. Returns a confirmation that the review was recorded. Reviews help other agents and humans decide whether to install a skill. Use this after using a skill to share your experience. Do not review skills you have not actually used. Ratings range from 1 (unusable) to 5 (excellent).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
slugYesSkill slug in owner/repo format. Example: 'supabase/mcp'
ratingYesRating from 1 to 5. 5 = excellent, 1 = unusable.
commentNoOptional comment about your experience. Example: 'Works great for database queries, fast and reliable'
Behavior3/5

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

With no annotations provided, the description carries the full burden. It discloses the return value ('Returns a confirmation') and side effects ('Reviews help other agents and humans decide'), but omits idempotency rules, update/delete capabilities, or rate limiting. Adequate but not comprehensive behavioral coverage.

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?

Six sentences are front-loaded with purpose, return value, and usage constraints. Each sentence earns its place, though the rating scale details in the final sentence partially duplicate the schema. Structure flows logically from what it does to when to use it.

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?

Given no annotations and no output schema, the description adequately compensates by explaining the return value ('confirmation that the review was recorded') and providing usage context. It covers the essential gaps left by the structured metadata.

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 100%, establishing a baseline of 3. The description repeats the rating scale semantics already present in the schema ('1 (unusable) to 5 (excellent)') without adding significant new semantic context for parameters beyond what's in the property descriptions.

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?

The description uses a specific verb ('Leave') with clear resource ('rating and optional comment for a skill') and scope. It distinguishes from siblings like flag_skill and report_skill_usage by focusing on post-use experience sharing rather than bug reporting or telemetry.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Provides explicit temporal guidance ('Use this after using a skill') and ethical constraint ('Do not review skills you have not actually used'). Lacks explicit naming of alternatives (e.g., flag_skill for reporting issues), but the when/when-not guidance is clear and actionable.

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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