Start the Google Meet OAuth flow
connect_google_meetReturns a Google OAuth URL. The user MUST open this URL in a browser and grant consent — the MCP cannot complete OAuth on its own.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes |
connect_google_meetReturns a Google OAuth URL. The user MUST open this URL in a browser and grant consent — the MCP cannot complete OAuth on its own.
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full behavioral disclosure burden. It usefully reveals a non-obvious trait: the tool only returns a URL and cannot complete OAuth autonomously. This is a critical behavioral boundary that prevents the agent from assuming the connection is fully established. It does not cover side effects or state changes, but for a simple OAuth-start tool this is substantial transparency.
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?
The description is two sentences with no filler: the first states the core behavior, and the second delivers the essential user-action requirement. The critical instruction is front-loaded and every sentence adds value.
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?
The tool is simple and the description covers the main flow and the key limitation, but it leaves the 'id' parameter entirely unexplained. There is also no output schema or return-value structure, so the description alone must define how the URL is returned; it only says a URL is returned without clarifying the response shape. This is adequate for basic use but incomplete for fully correct invocation.
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 schema has one required parameter, 'id', with no description, and schema description coverage is 0%. The tool description never mentions 'id' or explains what value should be supplied (e.g., user id, meeting id, workspace id). An agent cannot correctly determine what to pass for this parameter from any available text.
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 states a specific verb and resource: 'Returns a Google OAuth URL.' The title adds 'Google Meet OAuth flow,' which clearly identifies the tool's purpose and differentiates it from the other connect_* siblings such as connect_linkedin_account and connect_telegram_bot. No ambiguity remains about what this tool does.
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?
The description clearly instructs that the returned URL must be opened in a browser and that the MCP cannot complete OAuth on its own, giving the agent immediate next-step guidance. It does not explicitly name alternative tools or exclusion conditions, but the 'Start OAuth flow' title and unique Google Meet scope imply the appropriate context for use.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Despite consistently detailed descriptions, several tool pairs have unclear boundaries: `get_subscription_limits` and `get_agent_plan_limits` describe essentially the same agent-slot check, `crm_get_conversation` and `crm_communication_thread` both claim to return the full message thread, and `get_credit_usage_by_agent` vs `get_credit_usage_for_agent` differ only by preposition. At 149 tools, an agent will regularly misselect between these near-duplicates.
The dominant pattern is verb_noun with domain prefixes (`crm_*`, `sdr_*`) and a consistent `preview_*` family that maps cleanly to destructive/expensive actions. Deviations are minor but real: CRM deletes use the inverted `delete_crm_*` form while other CRM ops use `crm_*`, and credit-usage tools mix `by_agent`/`for_agent` prepositions.
149 tools is nearly three times the 50+ threshold the rubric treats as extreme, even though the platform genuinely spans agents, campaigns, audiences, CRM, SDR, billing, and connections. Many could be consolidated without losing capability — e.g. the 11 balance/credit-usage tools, the two LinkedIn-account listers, and the 15+ preview variants.
The surface is remarkably complete: full CRUD/lifecycle coverage for agents, campaigns, audiences, CRM leads/stages, and SDR searches, plus billing, analytics, and connection management. Destructive or costly operations all have preview/approval counterparts, so there are no dead ends. If anything the risk is over-coverage rather than gaps.