list_comments
List comments for a post.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| slug | Yes | ||
| post_id | Yes |
Output Schema
| Name | Required | Description | Default |
|---|---|---|---|
| result | Yes |
List comments for a post.
| Name | Required | Description | Default |
|---|---|---|---|
| slug | Yes | ||
| post_id | Yes |
| Name | Required | Description | Default |
|---|---|---|---|
| result | Yes |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations and a minimal description, the tool's behavior (e.g., pagination, ordering, authorization requirements) is not disclosed. The output schema exists but is not described here, leaving the agent uncertain about the response format.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is three words, which is too short to provide meaningful context. It lacks structure and is under-specified, not concise in a helpful way.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given two required parameters and no annotations, the description is incomplete. It does not explain return values, common use cases, or how this tool fits with sibling tools. The output schema may help but is not referenced.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0%, and the description does not explain what 'slug' or 'post_id' refer to. The agent must infer their meanings from parameter names alone, which is insufficient.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description uses the verb 'List' and resource 'comments for a post', clearly indicating the action and target. However, it does not differentiate from sibling tools like 'create_comment' or 'get_post', which could cause ambiguity.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when to use this tool versus alternatives. There is no mention of prerequisites (e.g., post existence) or typical use cases.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
All tools have clearly distinct purposes. The board, post, comment, vote, analytics, changelog, queue, and utility tools each target different resources or actions without overlap.
Most tools follow verb_noun snake_case (e.g., create_board, get_post). Two tools (ping, whoami) are not verb_noun but are standard conventions, keeping overall consistency high.
22 tools is well-scoped for a feedback board management server. Each tool covers a distinct operation without unnecessary duplication or bloat.
Covers core lifecycle for boards (CRUD + publish/unpublish), posts (CRUD + claim/release + status proposal + evidence), and comments (create/list). Missing comment update/delete and vote creation, but these are minor gaps for the domain.