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erova

VibeSharing MCP Server

by erova

get_feedback

Retrieve feedback and comments for a prototype, filtering by status, priority, or assignee.

Instructions

Get feedback and comments for a specific prototype. Can filter by status (open, in_progress, resolved, wont_fix, deferred), priority (critical, high, medium, low), or assignee.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
statusNoFilter by status: open, in_progress, resolved, wont_fix, deferred. Comma-separated for multiple.
priorityNoFilter by priority: critical, high, medium, low
project_idYesThe VibeSharing project/prototype ID
assigned_toNoFilter by assignee user ID, or 'unassigned' for unassigned feedback
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It only states 'get' which implies no mutation, but does not explicitly confirm read-only behavior, access restrictions, or if any state changes occur. There is no mention of what is returned (e.g., fields, ordering, pagination) or any side effects. This lack of detail is a significant gap for a tool with no structured annotation safety hints.

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?

The description is a single, well-structured sentence that front-loads the main purpose and then lists all filter options. Every clause carries useful information without redundancy. It is appropriately concise and easy to scan.

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?

While the tool is relatively simple, the lack of an output schema and annotations means the description should explain more about the response shape or any limitations. It covers the main filtering options but does not mention what the returned data looks like, whether comments are included, or how to interpret the results. For a basic get, this is adequate but leaves clear gaps in an agent's understanding.

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 schema already provides 100% description coverage for all four parameters, so the baseline is 3. The description nicely lists the allowed enum values for status and priority, reinforcing what the schema states, but does not add deeper meaning (e.g., 'unassigned' semantics in assigned_to, or how filters combine). No new information beyond the schema.

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 clearly states a specific verb ('Get') and resource ('feedback and comments for a specific prototype'), making the tool's purpose unambiguous. It also distinguishes itself from sibling tools like 'triage_feedback' and 'close_feedback_loop' by focusing on retrieval, not processing or mutation.

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?

The description provides clear context: it is for fetching feedback on a specific prototype with optional filters by status, priority, or assignee. It does not explicitly mention when not to use it or offer alternatives, but the sibling tools (e.g., 'triage_feedback') are obviously different in purpose, so the context is sufficient.

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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