get_counseling_guide
台灣線上(通訊)心理諮商的合法條件、18 歲限制、15–45 歲免費 3 次心理諮商方案、預約步驟與 1925 等危機專線。
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
台灣線上(通訊)心理諮商的合法條件、18 歲限制、15–45 歲免費 3 次心理諮商方案、預約步驟與 1925 等危機專線。
| 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 provided, so the description carries the full disclosure burden, yet it says nothing about the tool's behavior: no mention that it returns static reference text with no side effects, no auth requirements, and no return format. The topic list describes content, not behavior.
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 dense sentence with no filler, front-loading the core topic (legal conditions for online counseling) before listing secondary items. It is efficient, though the absence of a lead verb makes it read more like a table of contents than a description.
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 zero-parameter info-lookup tool with no output schema, the description's enumeration of the guide's sections (legality, age limits, free program, booking steps, crisis hotline) gives an agent enough to decide whether a call will satisfy the user's need.
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 zero parameters, so per the rubric the baseline is 4. There are no parameter semantics the description needs to compensate for.
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 is a dense noun phrase rather than a verb+resource sentence, but combined with the name get_counseling_guide it clearly enumerates the returned content: Taiwan online counseling legality, the 18-year-old restriction, the free 3-session program for ages 15–45, booking steps, and crisis lines like 1925. An agent can identify the resource, though the description doesn't explicitly differentiate it from sibling health-check tools.
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 or named alternative, but for a zero-parameter informational lookup the trigger context is implied by the enumerated topics (questions about counseling legality, eligibility and crisis help). Usage is inferable rather than stated.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
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