get_answer
按 slug 取一条问答的完整内容(正文 + 要点 + 标准条款依据 + 常见追问)。
Args:
slug: 问答标识,先用 list_questions 或 search_answers 取得
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| slug | Yes |
Output Schema
| Name | Required | Description | Default |
|---|---|---|---|
| result | Yes |
按 slug 取一条问答的完整内容(正文 + 要点 + 标准条款依据 + 常见追问)。
Args:
slug: 问答标识,先用 list_questions 或 search_answers 取得
| Name | Required | Description | Default |
|---|---|---|---|
| slug | Yes |
| Name | Required | Description | Default |
|---|---|---|---|
| result | Yes |
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 burden. It implies a simple read-by-identifier and lists the returned sections, but says nothing about failure behavior for an invalid/unknown slug, auth requirements, or whether content can be large. Adequate but shallow for a zero-annotation tool.
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 short, front-loaded lines: the purpose sentence comes first, then the argument note. Every clause earns its place and nothing is redundant.
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 a single required string param and an output schema present, the description does not need to document return values, and it still sketches them. Complete enough to invoke correctly; only error/permission behavior is left unstated, which is minor for a read tool.
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% (schema only labels the field 'Slug'), so the description must compensate: it explains slug is the Q&A identifier and, crucially, where to obtain it (list_questions or search_answers). That is real meaning beyond the schema, though no format example is given.
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?
States a specific verb+resource+scope: fetch the complete content of ONE Q&A entry by slug, and even enumerates what 'complete' means (body, key points, standard-clause references, common follow-ups). The mention of list_questions/search_answers makes clear this is not the enumeration tool, distinguishing it from siblings.
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?
Gives a clear prerequisite/workflow: obtain the slug first via list_questions or search_answers. That routes the agent correctly, but there is no explicit statement of when NOT to use this tool (e.g. browsing without a known slug).
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.