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Get this connection

get_connection
Read-only

Who this connection is: the workspace, the app and signed-in teammate, their role, whether it may only read or also make changes, and what needs the user's attention (a connection to sign in to again, a support email to finish, a paused agent or AI replies). Call it when a call is refused or before explaining what you can do.

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4/5.0
Behavior4/5

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

Annotations already establish readOnlyHint=true, destructiveHint=false and closed-world scope, so the description doesn't need to re-argue safety. It adds real value beyond them by disclosing that the response carries permission state ('whether it may only read or also make changes') and a diagnostic/recovery signal for refused calls. It stops short of describing error shapes or the format of the attention items.

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?

Content is front-loaded with the identity/context payload and closes with the call trigger, so an agent gets the essential framing immediately. The opening sentence is long and clause-stacked, which slightly hurts scanability, but every clause carries distinct information.

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?

There is no output schema, so the description bears the burden of explaining return content — and it enumerates the payload (workspace, app, teammate, role, permissions, attention items) thoroughly. Combined with the usage triggers, an agent has enough to call it and interpret the result, though return-shape detail (flat vs nested, list vs scalar) 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, and the description correctly spends no space on input semantics. Baseline for a no-parameter tool is 4, and nothing here suggests otherwise.

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 is explicit about what the tool returns: the workspace, app, signed-in teammate, that teammate's role, read-vs-write capability, and outstanding attention items. That's a concrete enumeration an agent can act on. It doesn't differentiate from nearby siblings like get_setup_status or get_customer_context, which keeps it from a 5.

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?

Two explicit triggers are given: 'when a call is refused' and 'before explaining what you can do.' That's clear contextual guidance rather than implied usage. No when-not conditions or named alternatives are provided, so it falls short of a 5.

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

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