zulip

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It states the action but does not cover important aspects such as required permissions, whether the operation is reversible, potential side effects (e.g., notifications), or error handling (e.g., invalid message_id or emoji_name). The description lacks behavioral context beyond the basic operation.

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 highly concise and well-structured: a clear purpose statement followed by parameter explanations in a simple 'Args:' section. Every sentence adds value without redundancy, and the information is front-loaded for quick understanding.

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 that there is an output schema (which handles return values), the description covers the basic operation and parameters adequately. However, as a mutation tool with no annotations, it lacks details on permissions, side effects, or error cases, which are important for safe and effective use. The description is minimally complete but has clear gaps in behavioral context.

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 adds meaningful semantics for both parameters: 'message_id' is explained as 'The message ID', and 'emoji_name' is clarified with an example ('e.g. "thumbs_up", "check"') and formatting guidance ('without colons'). This compensates well for the 0% schema description coverage, providing essential context that the schema alone does not.

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 specific action ('Remove an emoji reaction') and resource ('from a message'), distinguishing it from sibling tools like 'add_reaction' (which adds reactions) and 'edit_message' (which modifies message content). The verb 'remove' is precise and unambiguous.

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 implies usage by specifying the action, but does not explicitly state when to use this tool versus alternatives like 'edit_message' or 'add_reaction'. No guidance is provided on prerequisites, error conditions, or contextual constraints beyond the basic parameters.

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