bookmark_tweet

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It states the action ('Add') but doesn't describe any behavioral traits such as authentication requirements, rate limits, whether the operation is idempotent, or what happens on success/failure. This is a significant gap for a mutation tool with zero annotation coverage, though it doesn't contradict any annotations.

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, efficient sentence ('Add a tweet to bookmarks') that front-loads the core action and resource with zero wasted words. Every part of the sentence directly contributes to understanding the tool's purpose, making it appropriately sized and well-structured.

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 tool's low complexity (one parameter) and the presence of an output schema (which reduces the need to describe return values), the description is minimally adequate. However, with no annotations and incomplete parameter details, it lacks behavioral context and usage guidelines, making it insufficient for optimal agent operation but passable for basic understanding.

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 description implies a single parameter (tweet_id) by referencing 'a tweet', which aligns with the input schema's one required parameter. Since schema description coverage is 0%, the description adds meaningful context by specifying what the parameter represents, compensating for the lack of schema documentation. However, it doesn't detail the format or constraints of tweet_id, preventing a perfect score.

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 'Add a tweet to bookmarks' clearly states the action (add) and resource (tweet to bookmarks), making the purpose immediately understandable. It distinguishes from siblings like delete_bookmark or get_bookmarks by specifying creation rather than removal or retrieval. However, it doesn't explicitly differentiate from all sibling tools (e.g., favorite_tweet might be conceptually similar), keeping it from a perfect score.

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 no guidance on when to use this tool versus alternatives. It doesn't mention prerequisites (e.g., authentication needs), when not to use it (e.g., for temporary saving vs. bookmarking), or direct alternatives like favorite_tweet for similar actions. This lack of context leaves the agent to infer usage based on the tool name alone.

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