USE WHEN the user just completed a connector OAuth flow and you want to confirm it succeeded — 'did my connection work?', 'is my Zernio/HubSpot/Stripe connected?'. Returns status: pending | connected | failed for the given connectionId.
| Name | Required | Description | Default |
|---|---|---|---|
| workspaceId | No | ||
| connectionId | Yes |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description states the return values (pending/connected/failed) and implies read-only behavior via 'returns status', but does not explicitly declare side effects, error handling, or permissions. Since annotations are absent, the description mostly carries the burden, which it does adequately but not exhaustively.
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 extremely concise—two sentences that immediately convey the use case and output format without any wasted words or redundant information.
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 description explains the return status values, compensating for the lack of output schema, but fails to document both input parameters properly. For a simple 2-parameter tool, this omission reduces completeness.
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?
Schema coverage is 0%, yet the description only mentions 'connectionId' in passing without defining it, and completely omits 'workspaceId'. No parameter descriptions are added, leaving the agent uncertain about the optional workspaceId parameter.
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 clearly states the tool checks connector status after an OAuth flow, specifies the resource (connector status) and verb (confirm/check), and distinguishes from siblings by providing a specific use case and example queries.
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 explicitly says 'USE WHEN' followed by a precise condition (user just completed OAuth flow), and provides example user queries, leaving no ambiguity about when to invoke this tool.
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.
Most tools have distinct purposes, e.g., approve_action vs execute_approved_action vs publish_approved_post. However, alias overloading (e.g., chieflab_launch_product and chieflab_get_users_after_build pointing to the same handler) introduces some ambiguity. The detailed descriptions mostly mitigate confusion, but an agent might still struggle to choose between near-identical aliases.
Tools predominantly follow a 'chieflab_verb_noun' pattern (e.g., chieflab_approve_action, chieflab_connect_provider). A few exceptions exist (chieflab_help, chieflab_inbox, chieflab_boot) that are single nouns, but these are clearly distinct and the overall consistency is high.
32 tools is on the high side for an MCP server, but the domain of a growth/marketing launch platform naturally requires many operations (launch, approve, execute, measure, iterate, connect providers, etc.). The count is borderline but still manageable; it doesn't reach the 50+ extreme.
The tool set covers the full launch lifecycle: create, approve, execute, measure, and iterate. It includes provider connections, manual fallback, brain summary, and work requests. Minor gaps exist (e.g., no explicit tool for deleting a launch or revoking approval), but core workflows are fully supported.