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Glama

configure_email

Set up the Email app on a PC, laptop, or server with display name, credentials, and POP3/SMTP servers, then return the account as Packet Tracer stores it.

Instructions

Set up the Email app of a PC, laptop or server: display name, address, user name, password and the incoming (POP3) and outgoing (SMTP) servers. Returns the account as Packet Tracer now has it.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesYour Name, for example `Ana`.
emailYesEmail Address, for example `ana@gamc.bo`.
deviceYesPC, laptop or server whose Email app to set up.
passwordYes
usernameYesUser Name on the mail server, usually the part before `@`.
incoming_serverYesIncoming Mail Server (POP3): address or name.
outgoing_serverYesOutgoing Mail Server (SMTP): address or name.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYes
emailYes
deviceYes
usernameYes
incoming_serverYes
outgoing_serverYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.2.2

TDQS

B3.2/5.0
Behavior3/5

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

Annotations declare readOnlyHint=false, destructiveHint=false and openWorldHint=false, so safety and scope are already covered. The description adds only the return-semantics note ('Returns the account as Packet Tracer now has it'), which suggests the operation is idempotent/reflective, but it says nothing about overwriting an existing account or failure modes.

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 sentences, front-loaded with the action and the configured fields; the parenthetical POP3/SMTP glosses are genuinely useful. Slightly list-heavy but nothing is wasted.

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 an output schema present the description need not explain return values, and annotations carry the safety profile, so what remains — what gets configured and where — is covered. The only gap is the absence of any lifecycle context (setup-before-send, overwriting an existing account).

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 description coverage is 86%, so the schema already documents nearly every field with examples. The description restates the same field list (display name, address, user name, password, POP3/SMTP servers) and adds no format, ordering, or default information beyond it.

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 ('Set up') and resource ('the Email app of a PC, laptop or server') and enumerates exactly which settings are configured. An agent can distinguish this from send_email/receive_email by the setup verb, though the description never names a sibling to sharpen the contrast.

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

Usage Guidelines2/5

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

No explicit when-to-use, prerequisites, or alternative guidance. It never says, for example, that this must run before send_email/receive_email will work, or how it relates to add_server_user and set_server_service, all of which sit alongside it in the sibling list.

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