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zsy-arch

sofa-mcp

by zsy-arch

so_get_answers

Fetch answers for a Stack Exchange question by its numeric ID, sorted by votes to surface top solutions. Control the result set with page and page size parameters.

Instructions

Fetch answers (with bodies) for a question, sorted by votes by default.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pageNodefault 1
siteNoSE site, default stackoverflow
pagesizeNodefault 5
question_idYesnumeric question ID
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description must carry behavioral context itself. It discloses that full bodies are returned and that voting-based ordering is the default, which goes beyond the schema. The verb 'Fetch' clearly implies a read operation, so the lack of an explicit 'no side effects' statement is acceptable.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

One sentence contains the core action, output detail, and ordering behavior. There is no filler, and the most important information is front-loaded.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The schema already documents all parameters and requirements, while the description supplies the behavioral context about bodies and sorting. A more explicit note about the return shape would improve it, but for a simple list-fetch tool this is largely sufficient.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema has full 100% coverage for parameters, including defaults and a numeric question_id note. The description adds no new parameter-level semantics, so it meets the baseline but does not elevate it.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific verb ('Fetch') and a clear resource ('answers with bodies for a question'), and also notes the default ordering by votes. This is enough for an agent to distinguish it from sibling tools like so_get_question and so_search_questions.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies the tool is used when a question_id is known and answers are needed. However, it does not explicitly say when to prefer this over so_get_question or the search/results tools, nor does it mention any exclusions or alternatives.

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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