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?
With no annotations, the description carries the behavioral disclosure burden. It reveals the return values (pending/connected/failed) and the dependence on a connectionId, which adds meaningful context beyond the bare schema. It does not mention potential delays or side effects, but for a read-only status check, the disclosed behavior is sufficient.
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 a single, front-loaded sentence that immediately states the usage condition. It includes practical example queries and the exact output statuses, with no filler or redundancy.
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 simple status-check tool, the description covers the core purpose, usage trigger, and return values. However, it lacks explanation of the optional workspaceId parameter and any potential error conditions or edge cases, leaving small gaps in completeness given the absence of an output schema.
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 description coverage is 0%, so the description must compensate. It explicitly explains that connectionId refers to the connection being checked, but it provides no guidance on workspaceId, which is also a parameter. Since only one of two parameters is addressed, the compensation is incomplete.
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 confirms a connector OAuth flow succeeded, with specific verb 'confirm' and resource 'connector status'. It provides example user queries ('did my connection work?') and distinguishes from related tools by specifying the exact statuses returned (pending/connected/failed).
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 opens with 'USE WHEN the user just completed a connector OAuth flow', giving explicit context for when to invoke it. It does not explicitly mention alternatives or when-not-to-use, but the trigger condition is clear and distinct from sibling tools like chieflab_connect_provider.
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.
Many tools have overlapping purposes (e.g., multiple launch and measurement tools), and the presence of aliases like chiefmo_* can confuse an agent. While descriptions are detailed, the sheer number of tools covering similar workflow steps makes it hard to distinguish the right one without careful reading.
All public tools start with 'chieflab_' and mostly follow a verb_noun pattern (e.g., chieflab_approve_action, chieflab_set_company_profile). However, some internal names like 'chiefmo_*' appear as aliases, which slightly breaks consistency from the user's perspective.
45 tools is excessive for a single MCP server. While the domain is broad, this many tools likely overwhelms agents and users. Most well-scoped servers have 3-15 tools; 45 indicates poor scoping and should be split into focused sub-servers.
The tool surface is extremely comprehensive, covering the full lifecycle from signup and installation to launch, approval, execution, measurement, next-move suggestions, manual fallback, and specialist delegation. No obvious gaps for the stated purpose of growth and distribution.