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skills_get

Read-only

Load one published skill into this session. Returns the skill file to follow, prefaced by which of its services this user has connected and which account the run will use. Pass account (one of the user's connected addresses) to choose; otherwise the default account is used.

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": "skills_get"
  }
}

Input Schema

NameRequiredDescriptionDefault
slugNoThe skill's slug, from skills_search.
accountNoOptional. The connected account the skill should run against.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.2/5.0
Behavior4/5

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

The description is consistent with readOnlyHint=true and adds real context beyond the annotation: the tool returns a skill file to follow, prefaced by which services the user has connected and which account the run will use. That framing of the return payload is exactly the kind of behavioral detail the annotation cannot carry. It stops short of describing error cases (unknown slug, unconnected service) or limits.

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

Conciseness5/5

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

Three short sentences: purpose first, return payload second, parameter/fallback rule last. No filler, no restatement of the tool name, and the most decision-relevant information is front-loaded.

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 simple two-parameter read tool with no output schema, the description covers the action, the shape of the response, and account resolution — enough for correct invocation. The only soft spot is that zero required parameters means slug's necessity is not spelled out in the description even though the prose implies it is needed.

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 already 100%, so the baseline is 3, but the description earns above it: it explains that account must be one of the user's connected addresses and defines the fallback behavior when it is omitted, which the schema does not state. It also reinforces that slug identifies a published skill, tying it to skills_search.

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 — "Load one published skill into this session" — and adds what the caller receives back (the skill file plus connection/account preface). This is clearly distinguishable from siblings like skills_search (find) and skills_update (modify), so an agent can pick it without opening schemas.

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

Usage Guidelines3/5

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

The account-selection rule is explicit (pass an account to choose, otherwise the default is used), which is genuine usage guidance. However, there is no statement of when to call this versus skills_search, or that a search should precede it — that dependency is only implied by the slug parameter's schema text.

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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