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aethis-mcp

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by Aethis-ai

aethis_discover_rulesets

Read-only

Discover public showcase rulesets for first-time demos or when users ask what's available. Returns slugs and IDs to pass to decision tools.

Instructions

List public showcase rulesets across all tenants. No authentication required. Use this for first-time discovery, demos, or whenever the user asks 'what rulesets are available?' without referencing a specific project. Returns slug, ruleset_id, name (the human-readable section title), description, field_count, rule_count for each — pass the slug or ruleset_id to aethis_decide / aethis_schema / aethis_explain to interact with one. Distinct from aethis_list_rulesets, which is tenant-scoped.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMaximum rulesets to return (default 20, max 50).
offsetNoPagination offset (default 0).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.22.0

TDQS

A4.4/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and openWorldHint=true, so the safety profile is covered. The description adds genuinely useful behavioral context beyond that: 'No authentication required' and the exact returned field list. It lacks any statement about pagination behavior or whether results are cached/stable, but it adds real value over the annotations.

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?

Front-loaded with the core purpose and scope, then usage triggers, return shape, and routing. Every sentence carries information, though the middle clause enumerating return fields and downstream tools makes it dense; a tighter phrasing would read better without losing content.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

There is no output schema, and the description compensates by naming the exact returned fields (slug, ruleset_id, name, description, field_count, rule_count) and the next tools to pass them to. For a two-parameter browse tool with full annotation coverage, nothing an agent needs is missing.

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 description coverage is 100%, with both limit and offset fully documented in the schema itself. The description adds no parameter syntax or semantics beyond what the schema provides, so the baseline 3 applies.

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?

States a specific verb and resource ('List public showcase rulesets across all tenants') plus scope, and explicitly distinguishes itself from the tenant-scoped aethis_list_rulesets. An agent can select between the two without opening either schema.

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

Usage Guidelines5/5

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

Gives explicit triggering conditions ('first-time discovery, demos, or whenever the user asks what rulesets are available without referencing a specific project') and names the sibling it is not (aethis_list_rulesets, tenant-scoped). The when-to-use and the alternative are both spelled out.

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