Skip to main content
Glama

whoami

Read-only

Verify your UG Sakai connection and retrieve the logged-in student's ID, name, and email. Use it to confirm your account or troubleshoot when other tools fail.

Instructions

Check the connection to UG Sakai and return the logged-in student's ID, name and email. Use it when the student asks who they are logged in as or when other tools fail.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYes
emailNo
student_idYesUG Student ID used to log in

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.2.0

TDQS

A4.5/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, openWorldHint=true and destructiveHint=false, so safety is covered structurally. The description adds real context on top: that this doubles as a connectivity probe and returns identity fields, which the annotations do not convey.

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?

Two short sentences, zero filler, with the identity lookup stated first and the diagnostic use case second. Every sentence earns its place.

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

Completeness5/5

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

An output schema exists, so return values need no elaboration, and with no input parameters the description only needs to establish purpose and trigger conditions — both are present. Nothing an agent needs to call it correctly is absent.

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?

The tool takes zero parameters, so the baseline is 4 and there is no parameter meaning the description could add. Nothing is missing or misdescribed on this dimension.

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 action (check the connection) and a specific resource (the logged-in student's ID, name and email) on a named system (UG Sakai). An agent can tell exactly what comes back without opening any schema, and none of the sibling tools do this.

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 two concrete triggers: the student asking who they are logged in as, and a fallback 'when other tools fail' diagnostic case. That fallback routing is genuinely useful, though it doesn't name which failing tools it substitutes for or state any exclusions.

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