USE WHEN you have a specific operatorId + capability and want the full machine-readable profile (inputs, outputs, pricing, approval-required flag, endpoint). Pre-flight check before chieflab_create_work_request.
| Name | Required | Description | Default |
|---|---|---|---|
| capability | Yes | ||
| operatorId | Yes |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description must disclose behavior. It lists the output contents ('inputs, outputs, pricing, approval-required flag, endpoint') and frames it as a pre-flight check, suggesting read-only. However, it does not explicitly state safety, permissions, or error cases, leaving some burden unmet.
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?
Two sentences, front-loaded with 'USE WHEN,' and no filler. Every part 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?
For a simple two-parameter lookup with no output schema or annotations, the description covers purpose, usage, and return contents. It lacks explicit behavior notes (e.g., whether it is read-only) but is fairly complete given the tool's simplicity.
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% with no param descriptions. The description provides context by mentioning 'operatorId + capability' and 'capability profile,' giving some meaning to the two string parameters, but does not define their expected format or origin. It partially compensates for the missing schema descriptions.
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?
Description opens with 'USE WHEN you have a specific operatorId + capability' and specifies the result 'full machine-readable profile...' It also distinguishes itself by naming 'Pre-flight check before chieflab_create_work_request.' This clearly identifies the tool's function and differentiates it from the create tool.
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?
States the condition 'when you have a specific operatorId + capability' and positions it as a 'pre-flight check before chieflab_create_work_request,' giving clear context and naming the related workflow. It implies when not to use (without a specific pair) but does not explicitly name an alternative like search_capabilities.
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.