Skip to main content
Glama

Search PDDikti

search_pddikti
Read-onlyIdempotent

Search Indonesian higher-education records by keyword and return matching entries with their opaque ids. Start here: every other tool needs an id from this search. Returns a JSON list (empty when nothing matches). Entity to search.

Instructions

Search Indonesian higher-education records by keyword and return matching entries with their opaque ids. Start here: every other tool needs an id from this search. Returns a JSON list (empty when nothing matches). Entity to search. "all" — all entities; "pt" — universities; "prodi" — study programs; "dosen" — lecturers; "mhs" — students.

Input Schema

NameRequiredDescriptionDefault
entityYes
keywordYesName, NIM (student number), NIDN (lecturer number), or code to search for.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.2.0

TDQS

A4.3/5.0
Behavior4/5

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

Annotations already declare this as read-only, idempotent, open-world, and non-destructive. The description adds useful behavioral context by saying the result is a JSON list and is empty when nothing matches, though it does not discuss pagination or result limits.

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?

The description is short and front-loads the main instruction, the entry-point role, and the return shape. The trailing enum explanation is useful but slightly awkwardly appended.

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 two-parameter search tool with no output schema, the description provides the key context: what it returns, when to use it, and what the entity options mean. An agent has enough information to call it correctly.

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 only 50%, but the description compensates by explaining the 'entity' enum values: all, pt, prodi, dosen, and mhs. The keyword parameter is documented in the schema, so the combined description and schema give adequate parameter meaning.

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?

The description states a specific verb and resource: search Indonesian higher-education records by keyword and return matching entries with opaque ids. It also distinguishes this as the entry-point tool, noting that every other tool needs an id from this search.

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?

It clearly explains when to use this tool first and why: every sibling get_* tool depends on ids returned here. It does not explicitly describe when not to use it, but the usage context is clear enough for an agent.

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