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Skills

get_skills
Read-onlyIdempotent

Skills grouped by where they come from: professional work, own projects, and how Farrukh works.

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": "get_skills"
  }
}

Input Schema

NameRequiredDescriptionDefault
langNoLanguage of the answer: "de" for German or "en" for English.en

Output Schema

NameRequiredDescriptionDefault
groupsYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.2/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false and openWorldHint=false, so the safety profile is fully covered elsewhere. The description adds the useful fact that results come back pre-grouped by skill origin, but says nothing about ordering, pagination, or whether the grouping is exhaustive.

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?

A single compact sentence with no filler, and the grouping information is front-loaded. The trailing phrase 'how Farrukh works' is slightly vague, but nothing is wasted.

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?

The tool is simple: one optional language parameter, an output schema that carries the return structure, and annotations that cover safety. The description supplies the one thing structured fields don't — how results are organized — so it is adequate, with only the vague final category as a gap.

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% and the single `lang` enum parameter is fully documented in the schema with a default. The description mentions no parameters at all, so it adds no meaning beyond the schema — baseline 3 applies.

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 names the resource (skills) and its organizing principle (grouped by origin: professional work, own projects, how Farrukh works), which is enough to distinguish it from siblings like get_experience or get_project. It stops short of a verb ('list'/'get'), so the agent infers retrieval from the tool name rather than the text.

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

Usage Guidelines2/5

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

There is no when-to-use guidance and no mention of alternatives, despite a clear overlap with get_experience in the sibling list. The agent must guess whether skills belong in a profile call, an experience call, or this one.

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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