get_tweet_replies

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

No annotations are provided, so the description carries the full behavioral burden. 'Get' implies a read operation, but the description discloses no additional behavior such as authentication needs, pagination, rate limits, ordering, or what exactly constitutes a reply.

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 a single, focused sentence with no filler and the primary operation front-loaded. It is appropriately concise, though it could have included slightly more context without becoming bloated.

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?

For a simple two-parameter read tool, this is minimally adequate for selecting the tool. However, with no annotations and no output schema, it leaves unspecified aspects like return format, ordering, pagination, and whether authentication is required, so it is not fully complete.

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 100%, with both tweet_id and count already documented clearly, including count's default and maximum values. The description adds no extra parameter meaning beyond what the schema provides, so the schema-covered baseline of 3 applies.

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 a clear verb-resource pair ('Get replies' + 'specific tweet') and is easily distinguishable from user-level or search endpoints. It does not explicitly name a sibling alternative like get_tweet_by_id, so it stops short of a 5.

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 phrase 'to a specific tweet' implies usage when a tweet_id is already known, giving some contextual signal. However, it provides no explicit guidance about when not to use this tool or how it differs from alternatives such as get_tweet_by_id or search_tweets.

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