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List skills

list_skills
Read-onlyIdempotent

[read] AskEditor's skills, in two layers. how_the_tools_work: one tools/ guide per group of tools (tools/timeline, tools/animation, tools/captions, tools/sound, tools/motion-graphics, tools/tracking, tools/camera, tools/board…), each with the tools it owns; every tool is in one. how_to_make_things: guides for making one kind of thing well (hooks/guide, captions/guide, talking-video/guide…), each with the tools/ guides it needs. Load one with load_skill.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "list_skills"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.7/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, non-destructive and closed-world, so the safety profile is fully covered. The description adds genuine content context by describing what the two result layers contain and how they reference each other (each how-to guide lists the tools/ guides it needs). It stops short of anything about result size, format, or whether the catalog changes over time.

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

Conciseness3/5

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

The two-layer distinction is front-loaded and earns its place, but the parenthetical enumerations are bloated — eight example tool paths followed by an ellipsis, then three guide paths — which adds length without changing what an agent does. A shorter statement of the two layers would carry the same information.

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?

With zero parameters, no output schema and full annotation coverage, the description's main burden is explaining what comes back, and it does that by describing the two guide layers and their relationship. An agent has enough to call this and know how to act on the result; only the concrete response shape is left implicit.

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?

The tool takes no parameters, so the baseline of 4 applies; there is nothing for the description to disambiguate. No parameter-level claims are made or needed.

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 identifies the resource precisely ("AskEditor's skills") and, unusually, explains the catalog's two-layer taxonomy: tools/ guides grouped by tool family versus how-to-make-things guides. An agent can tell this apart from load_skill because the description explicitly assigns loading to that sibling. The verb is implied by the [read] tag and the catalog framing rather than stated, which keeps it just short of a 5.

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?

"Load one with load_skill" gives an explicit alternative and the natural next step, so an agent knows this tool is for discovery and load_skill is for retrieval. What is missing is a trigger condition — nothing says to call this before starting an unfamiliar task or when a skill name is unknown — so the when-to-use is inferred from context rather than stated.

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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