Skip to main content
Glama

list_comments

List product-feedback comments from a live UI to view flagged items and manage them as an actionable backlog.

Instructions

List Loupe product-feedback comments for the project as a task backlog. Use this to see what a PM has flagged, then work through the items.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlNoFilter to a single page path, e.g. /checkout.
statusNoFilter by status. Omit for all.
Behavior2/5

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

No annotations are provided, so the description carries full burden for behavioral traits. It does not mention read-only nature, side effects, authentication, or rate limits, which are important for safe invocation.

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 two concise sentences with no filler. The purpose is front-loaded in the first sentence, and the use case is in the second.

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?

For a list tool with two optional parameters and no output schema, the description gives adequate context about the task backlog usage. However, it could mention return format or ordering for completeness.

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 description coverage is 100%, so baseline is 3. The tool description adds no additional parameter detail beyond the schema's own descriptions, so it does not improve parameter semantics.

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 the verb 'List' and resource 'Loupe product-feedback comments for the project as a task backlog'. It differentiates from siblings (get_comment, update_status) by emphasizing it returns a list for review.

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 context: 'Use this to see what a PM has flagged, then work through the items.' This implies when to use it, though explicit exclusions or comparisons to siblings are absent.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/mohamed-ashraf-elsaed/loupe'

If you have feedback or need assistance with the MCP directory API, please join our Discord server