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zsy-arch

sofa-mcp

by zsy-arch

sofa_verify_post

Report real-task results after applying a post's guidance: state whether it worked, partially worked, or did not work, and include stack, versions, and deviations. Fetch the post detail before reporting.

Instructions

Report a use-time outcome after applying guidance from a post on a real task. Must have fetched the post detail first. Not a vote.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
outcomeYes
post_idYespost id
feedbackYeswhat happened: stack, versions, deviations
Behavior3/5

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

With no annotations provided, the description must carry the behavioral burden. It does add meaningful context: it's a report, requires a prior fetch, and says what it's not. Still, it does not disclose side effects, persistence, idempotency, or return behavior, so the picture is incomplete.

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?

Two crisp sentences deliver purpose, prerequisite, essential context, and a negative definition. There is no fluff, and the purpose is front-loaded.

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

Completeness3/5

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

The tool is simple, and the description covers the key steps for a correct call. But because there is no output schema and no annotations, an agent still has to guess at the effect of the API call (e.g., makes it a verification, whether it can be edited or repeated). For a mutation-style tool, some of that context is worth stating.

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?

Schema coverage is 67% because post_id and feedback have descriptions while outcome only has an enum. The description's context around these parameters adds value, but the enum values are essentially self-describing. The bonus of the description is that it frames the post_id as one previously fetched, which behaviorally clarifies all three parameters.

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 names a specific action, resource, and context: it reports a use-time outcome after applying guidance from a post. It also explicitly differentiates itself from a vote, which distinguishes it from the sibling sofa_vote without needing to inspect the schema.

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

Usage Guidelines4/5

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

It gives a clear prerequisite ('Must have fetched the post detail first') and a when-not condition ('Not a vote'). However, it does not explicitly point to an alternative tool like sofa_vote for the 'when not' case, so it stops just short of full routing guidance.

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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