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Browser Feedback MCP

by itk-dev

get_pending_feedback

Retrieve all pending browser feedback annotations at once, then analyze and act on each submitted item.

Instructions

Get all pending feedback that has been submitted. Use this to collect multiple annotations at once - user can submit several feedback items, then you call this to get them all. Returns an array of feedback items. After receiving, analyze ALL items and take action on each.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
clearNoWhether to clear the pending feedback after retrieving (default: true)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.8.0

TDQS

A3.6/5.0
Behavior3/5

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. It usefully notes the return is an array and that it is a non-blocking 'get', but it omits the significant state-mutating side effect that feedback is cleared by default (the 'clear' default of true).

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

Conciseness4/5

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

Four short sentences, front-loaded with the purpose and followed by usage, return shape, and next action. Each broadly earns its place, though the usage sentence slightly overlaps the purpose statement.

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?

With no output schema, the description correctly describes the return ('an array of feedback items') and the expected follow-up action. It remains incomplete on the clearing side effect and on how this differs from the near-identical preview sibling.

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?

Only one parameter exists and the schema documents it at 100% coverage, so the baseline of 3 applies. The description adds no information about the 'clear' flag's default behavior or its consequences beyond what the schema already states.

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

Purpose4/5

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

States a specific verb and resource ('Get all pending feedback that has been submitted') and clarifies the batch-collection intent. However, it never differentiates itself from the very similar sibling 'preview_pending_feedback' or 'wait_for_multiple_feedback', leaving an agent to infer which one to pick.

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?

Gives a concrete triggering scenario ('user can submit several feedback items, then you call this to get them all') and a post-call instruction ('analyze ALL items and take action on each'). It lacks any when-not guidance or explicit naming of alternatives like preview_pending_feedback or delete_pending_feedback.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.