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Badroel07

E-Learning ITG MCP Server

by Badroel07

elearning_login

Authenticates to elearning.itg.ac.id using NIM/username and password, then saves the session token in client memory to authorize subsequent academic portal requests.

Instructions

Melakukan autentikasi ke elearning.itg.ac.id menggunakan NIM/Username dan Password. Token sesi disimpan otomatis di memori klien.

Input Schema

NameRequiredDescriptionDefault
passwordNoKata sandi akun E-Learning (opsional jika sudah diatur di .env)
usernameNoNIM atau username akun E-Learning (opsional jika sudah diatur di .env)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

B3.4/5.0
Behavior3/5

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

No annotations are supplied, so the description carries the full burden. It does add genuinely useful behavior beyond the schema: the session token is stored automatically in client memory, telling the agent that state persists across later calls. It omits failure behavior (bad credentials), token lifetime, and whether concurrent logins invalidate the session.

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?

Two short sentences, front-loaded with the action and target, followed by the session-storage note. No filler, though no structure is given for multi-step auth.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a two-optional-parameter login tool with no output schema, the definition covers who/where/how and where the token goes. It stops short of error conditions and session lifetime, which an agent invoking it in a multi-step itinerary would benefit from.

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 both parameters already document that they are optional when set in .env, so the description adds no syntax or 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?

States a specific verb and a concrete target: authenticating to elearning.itg.ac.id with NIM/Username and Password. That clearly separates it from the data-retrieval siblings (dashboard, tugas, jadwal), though it never names them or describes the relationship explicitly.

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 purpose implies this must run before the elearning_* data tools, but the description never says so or states whether re-login is needed after token expiry. Usage is inferred from the tool name rather than guided.

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