get_all_replies

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

With no annotations, the description carries the full burden. It discloses the return format (formatted list with username, timestamp, text) and the dependency on scrape_thread. However, it doesn't specify behavior on empty data or potential errors, which is a notable gap for a data retrieval tool.

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 brief and front-loaded with the primary action. Every sentence earns its place, covering purpose, output format, and necessary prerequisite without redundancy.

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 the simple nature (0 params, output schema exists), the description is fairly complete. It covers the return fields and the dependency on scrape_thread. The only gap is lack of explicit error/empty-list behavior, but overall it's sufficient for a straightforward getter.

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?

The tool has zero parameters, so the baseline is 4. The description adds context about the output and prerequisite, which is helpful even though there are no parameters to clarify.

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 gets all scraped Threads replies, with a specific verb and resource. It distinguishes itself from sibling tools like search_replies by emphasizing 'all' replies.

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 provides an explicit prerequisite ('Call scrape_thread first if no data exists yet'), giving context on when to use the tool. It doesn't explicitly exclude alternatives or list when not to use it, but the 'all' wording implies a contrast with filtered searching.

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