Connect Google
connect_googleA link your person opens to approve Google Calendar and Gmail, for booking meetings and sending mail.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
connect_googleA link your person opens to approve Google Calendar and Gmail, for booking meetings and sending mail.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations declare openWorldHint=true and readOnlyHint=false but say nothing about the human-in-the-loop flow; the description usefully states that a link is returned and that the user (not the agent) opens it, plus the two scopes being granted. It omits link lifetime, whether it is single-use, how the agent learns approval succeeded, and whether scopes are fixed or consentable, which matter for an OAuth entry point.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
One economical sentence with no filler, and the key fact (a link the user opens) is front-loaded. The noun-phrase opening is slightly awkward for a tool that performs an action, but nothing is wasted.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a zero-parameter, no-output-schema tool the description does cover the essential return (a link) and who consumes it, which is the minimum an agent needs. Gaps remain around what state the integration is in after the user opens the link and how to verify success, likely via a sibling such as onboarding_status, which is never referenced.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
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 4 applies. No misleading parameter hints are present.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description names the concrete outcome (a link to approve Google Calendar and Gmail) and the downstream purpose (booking meetings, sending mail), which separates it from sibling connect_salesforce by provider and scope. It stops short of a verb-first statement of what the tool itself does (mint/generate an OAuth link), so the action is inferred rather than stated.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Usage is only implied through 'for booking meetings and sending mail' — an agent can infer this is the prerequisite step before those actions, but there is no explicit trigger condition, no note that this must precede send_email or calendar work, and no mention of connect_salesforce as the alternative for CRM data.
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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