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Get student detail

get_student
Read-onlyIdempotent

Fetch one student’s public PDDikti record by ID to view university, study program, and enrollment status; find the ID first with search_pddikti by name or NIM.

Instructions

Fetch the public PDDikti record of one student (mahasiswa), such as university, study program, and enrollment status. There is no student list; find the id with search_pddikti (entity "mhs") by name or NIM. Returns JSON.

Input Schema

NameRequiredDescriptionDefault
id_mhsYesOpaque student (mahasiswa) id, copied exactly from a search_pddikti result (entity "mhs"). Do not guess or construct it.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.2.0

TDQS

A4.4/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint=false, so the safety profile is covered. The description adds useful context beyond them: that the record is public, that no listing exists, and that the return is JSON. It stops short of describing response shape or failure modes for an invalid/stale id.

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, front-loaded with the verb and resource, then the constraint, then the id-sourcing instruction. Every sentence carries load and none repeats the title.

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 a single required parameter, annotations covering the safety profile, and no output schema, the definition is nearly complete. The description hints at returned fields ('university, study program, enrollment status') rather than documenting them fully, which is the only remaining 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 coverage is 100% and the schema itself already says the id is opaque and must not be guessed. The description reinforces provenance ('find the id with search_pddikti') but adds no new syntax or format detail. Baseline 3 applies when the schema does the heavy lifting.

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 ('Fetch the public PDDikti record of one student'). It also enumerates the content (university, study program, enrollment status) and explicitly distinguishes itself from list-style siblings with 'There is no student list', so an agent can tell it apart without opening the schema.

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

Usage Guidelines5/5

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

Gives explicit routing: to obtain an id, use search_pddikti with entity "mhs" by name or NIM. Both the when-to-use condition and the required upstream step are stated, leaving nothing to inference.

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