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reddit_fetch_thread

Fetch a Reddit post's comment tree live and store the comments. Optionally limit count and filter by minimum score.

Instructions

Fetch a post's comment tree live and store the comments.

post_id may be a bare id (abc123) or a fullname (t3_abc123). Returns {"post": <post dict or None>, "comments": [<comment dicts>], "comments_collected": N}. The post object is included when it is already in the store (e.g. from a prior sweep/search). Comments are stored so you can cite them as evidence afterwards.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
post_idYes
min_scoreNo
max_commentsNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

With no annotations, the description carries full burden. It discloses that the tool fetches live data, stores comments for later evidence, and includes the post object only if already stored. However, it lacks details on side effects like overwriting behavior, rate limits, or permission requirements, leaving some transparency gaps.

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?

The description is well-structured, starting with the main action, then parameter detail, return format, and an important note about post inclusion. It is concise enough without unnecessary fluff, though the parameter explanation could be moved to the schema.

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?

The description covers the main function, parameter info for post_id, return format, and the side effect of storing comments. However, it does not explain error handling, interaction with stored data (e.g., overwrite vs append), or authentication, leaving some gaps for a tool with no annotations or enriched schema.

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 coverage is 0%, so description must compensate. It adds meaning for post_id by specifying allowed formats (bare id or fullname) with examples. However, min_score and max_comments are not explained beyond their defaults, leaving their semantics unclear. Thus partial added value.

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?

The description clearly states that the tool fetches a post's comment tree live and stores the comments, which identifies a specific verb and resource. While it does not explicitly compare to siblings, the function is distinct from other reddit tools like reddit_search or reddit_export, so purpose is clear.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage for fetching comments from a specific post, but it provides no explicit guidance on when to use this tool versus alternatives (e.g., reddit_search for broader retrieval or reddit_sweep for stored data). There is no mention of prerequisites or when not to use it.

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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