get_engagement_model
Get how McGill Technologies contracts and bills: pricing structure, who owns the source code and IP at the end, and whether there is any lock-in or required retainer.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Get how McGill Technologies contracts and bills: pricing structure, who owns the source code and IP at the end, and whether there is any lock-in or required retainer.
| 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?
No annotations are supplied, so the description carries the full disclosure burden. The verb 'Get' plus the informational subject matter implies a read-only, non-mutating call and it discloses the scope of what is returned, but it says nothing about permissions, sourcing of the data, or freshness. For a zero-parameter static-info tool that is acceptable but not rich.
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?
A single front-loaded sentence with a colon-delimited list of the three returned topics. No filler, no restatement of the title, and the reader knows the payload immediately.
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?
With no output schema, the description must describe returns, and it does so by naming the three content areas an agent would get back. It stops short of stating the return shape or format, but for a zero-parameter informational getter this is close to complete.
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 no parameters, so there is nothing for the description to clarify beyond the input schema. The baseline of 4 applies; the description adds no parameter detail because none is needed.
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 concrete verb ('Get') and a concrete resource ('how McGill Technologies contracts and bills'), then enumerates the exact facets returned: pricing structure, IP/source-code ownership, and lock-in/retainer terms. This distinguishes it implicitly from the sibling tools, which cover capacity, contact, discovery and services, though it never names a sibling explicitly.
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?
There is no explicit when-to-use statement, no prerequisites, and no named alternative. Usage is only implied by the content scope ('contracts and bills'), which is enough for an agent to infer that this is the commercial-terms lookup versus get_contact or list_services, but nothing is spelled out.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.