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Glama

list_school_accounts

Lists configured school accounts, such as Columbia or MIT, and identifies which account is currently active so students can confirm their academic workspace.

Instructions

List the configured school accounts (e.g. columbia, mit) and show which one is active.

Input Schema

NameRequiredDescriptionDefault

No arguments

Output Schema

NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A3.7/5.0
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 behavioral burden. It discloses scope (configured accounts) and that an active flag is included, but says nothing about permissions, whether the list is environment- or user-scoped, or whether any state changes—though the read-only nature is strongly implied by 'List'.

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?

A single sentence that front-loads the verb and resource, with the active-account detail immediately after. Nothing is padded or repeated from the schema.

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?

An output schema exists, so return structure needs no explanation, and with zero parameters the surface area is small. The only shortfall is the absence of guidance tying it to switch_school_account, which would fully close the loop.

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 there is nothing for the description to disambiguate; baseline credit applies. The examples of account identifiers (columbia, mit) give useful context about what the returned values look like.

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?

The description pairs a specific verb (List) with a specific resource (configured school accounts) and adds that the active one is marked, which separates it from the mutation sibling switch_school_account. It does not name the sibling explicitly, so routing relies on the reader inferring list vs switch.

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?

Usage is only implied: an agent can infer this is the discovery step before switching accounts, but the description states no when-to-use condition, no exclusions, and does not point at switch_school_account as the follow-up action.

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