Skip to main content
Glama

Search Opendart courses

search_courses
Read-onlyIdempotent

Search Opendart Akademi software training courses (Java Spring Boot, .NET Core, Flutter, Android Kotlin, iOS Swift, React Native, Angular, Vue.js, DevOps, AI-assisted development, corporate training) and topic guides. Returns course title, short description (Turkish), page URL and English page URL. Call with no arguments to list the main courses. Never state prices, dates or capacity that no tool returned. TR ipucu: Opendart eğitimlerini ve konu rehberlerini arar; ör. query "flutter", "kubernetes", "mobil", category "ai".

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": "search_courses"
  }
}

Input Schema

NameRequiredDescriptionDefault
queryNoKeywords, e.g. "spring boot", "mobile app", "docker". Turkish or English. Optional. / Anahtar kelime.
categoryNoOptional filter. / İsteğe bağlı kategori.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.8/5.0
Behavior4/5

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

Annotations already declare readOnly, idempotent, non-destructive and closed-world, so the safety profile is covered. The description adds value beyond that by naming the exact return fields and by imposing a guardrail against asserting prices, dates or capacity that no tool returned — a real behavioral constraint an agent would otherwise violate.

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 core is front-loaded and dense with useful specifics, but the trailing 'TR ipucu' sentence restates the same purpose and examples in Turkish, which is duplication rather than new information. It is not bloated overall, but that final line does not fully earn its place.

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 no output schema, the description correctly carries the burden of describing return values (title, Turkish short description, page URL, English page URL) and the zero-argument default behavior. Combined with the fabrication guardrail, an agent has what it needs; only the relationship to the detail/schedule siblings is left unstated.

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%, so both parameters are already documented, including that query accepts Turkish or English and that category is an optional filter. The description reinforces this with sample query terms and a sample category value, but adds little semantic meaning the schema does not already carry; 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?

States a specific verb and resource: searches Opendart Akademi software training courses and topic guides, then enumerates the covered topics (Java Spring Boot, Flutter, DevOps, AI-assisted development, etc.). It also lists the returned fields, so an agent knows this is a listing/search tool rather than a detail fetch. It stops short of naming how it differs from get_course_details or search_articles, leaving that inference to the caller.

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?

Gives a concrete usage mode ('Call with no arguments to list the main courses') plus worked query examples ('flutter', 'kubernetes', 'mobil', category 'ai'), which is enough to start calling it correctly. It does not explicitly say when to prefer get_course_details or get_course_schedule instead, so the routing to siblings is only implied.

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

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

Resources