get_offboarding_guide
The step-by-step offboarding flow and what the client ultimately receives.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
The step-by-step offboarding flow and what the client ultimately receives.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden of behavioral disclosure. It only states what the tool returns (offboarding flow and client deliverables) but does not mention whether it is a read-only operation, requires authentication, or has any side effects. For a get/informational tool, the lack of explicit safety disclosure is a minor gap, but still present.
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, compact sentence that directly states the tool's output and content. It is front-loaded with the key information and contains no filler or redundancy, making it highly scannable for an AI agent.
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 with no parameters and no output schema, so the description is mostly adequate. However, it could benefit from a phrase like 'Use to understand the offboarding process' to clarify intended context. As written, it tells what is returned but not why or when to use it, leaving a small but notable gap in 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?
The tool has zero parameters, so per the baseline rule, the description does not need to add parameter semantics. The schema is empty and the description doesn't attempt to describe parameters, which is appropriate. No information is missing here.
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 indicates the tool provides the step-by-step offboarding flow and what the client ultimately receives. While it is a noun phrase rather than an explicit verb+resource, the name 'get_offboarding_guide' combined with this description makes the purpose unambiguous and distinct from sibling tools about pricing, compliance, or certificate verification.
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 gives no explicit guidance on when to use this tool versus alternatives. It does not mention prerequisites, appropriate contexts, or when to avoid it. The only hint is the offboarding topic, which differentiates it from siblings, but the description itself provides no usage direction.
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.
Each tool targets a distinct aspect of MyDataPass: general info, compliance checks, offboarding guide, pricing, and certificate verification. There is no overlap in purpose, making selection unambiguous.
Most tools follow a verb_noun pattern (check_, get_, verify_), but 'about_mydatapass' uses a preposition instead of a verb. The overall style is consistent (lowercase, underscores), with only minor deviation.
Five tools is well within the typical 3-15 range and fits the server's informational scope. Each tool covers a necessary area without redundancy or bloat.
The tool surface covers the key aspects of the service: overview, regulatory compliance, offboarding process, pricing, and verification. For an informational server, this is comprehensive with no obvious gaps.