get_thread_postsRead every post in a WindowsForum thread by thread id, in order — use to follow the full conversation, including replies and accepted solutions, after finding a thread via search.
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No | Maximum number of posts to return (default: 50) | |
| thread_id | Yes | The thread ID to get posts for |
| Name | Required | Description | Default |
|---|---|---|---|
| result | Yes |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already mark it as read-only and non-destructive. The description adds value by noting posts are returned in order and include replies and accepted solutions.
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?
Single sentence that efficiently conveys purpose, use case, and key behavior with no unnecessary words.
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?
With an output schema present and only two straightforward parameters, the description covers all necessary context for correct invocation.
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 coverage is 100% with descriptions for both parameters. The description adds no new parameter semantics beyond what the schema provides.
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 clearly states the tool reads every post in a thread by ID, including replies and accepted solutions, distinguishing it from single-post or search tools.
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?
The description indicates it should be used after finding a thread via search, but does not explicitly list when not to use or contrast with get_post for a single post.
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.
Most tools have distinct purposes, but the numerous search variants (search, search_elastic, search_semantic, search_threads, search_posts) overlap in functionality. However, detailed descriptions help differentiate them, so only minor ambiguity exists.
Tool names predominantly follow a verb_noun pattern (get_, search_, list_). However, 'fetch' is a bare verb, and 'list_threads' uses 'list' instead of 'get', creating slight inconsistency. Overall, the pattern is clear.
With 22 tools, the count is on the higher side for a forum server. Several search tools could be consolidated, but the scope (reading threads, posts, users, statistics, KB articles) justifies the number. Borderline heavy.
The tool surface covers all read operations for a forum: threads, posts, users, statistics, news, KB articles, and multiple search methods. However, there are no write tools (create, update, delete), which is a minor gap if interaction is expected.