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reply

Send responses in Zulip conversations using markdown formatting to communicate within active chat sessions.

Instructions

Reply in the current session context.

Args: content: The message content (supports Zulip markdown).

Returns: Confirmation with the sent message ID.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
contentYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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 mentions that it returns a confirmation with a message ID, which is helpful, but doesn't cover critical aspects like whether this is a read-only or mutating operation, authentication requirements, rate limits, error conditions, or what 'current session context' entails behaviorally. The description adds minimal 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.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is appropriately sized and front-loaded with the core purpose. It uses a structured format with 'Args:' and 'Returns:' sections, which enhances clarity. However, the first sentence 'Reply in the current session context.' is somewhat vague and could be more precise, slightly reducing efficiency.

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?

Given the tool has one parameter, no annotations, and an output schema (which handles return values), the description is minimally adequate. It explains the parameter and return confirmation, but gaps remain in behavioral transparency and usage guidelines. For a simple tool, it covers basics but lacks depth in contextual details like session management or tool differentiation.

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 description coverage is 0%, so the description must compensate. It provides a brief explanation for the single parameter 'content' ('The message content (supports Zulip markdown)'), which adds useful semantic information about markdown support not evident from the schema. However, with only one parameter and partial coverage, this meets the baseline expectation without fully compensating for the lack of schema descriptions.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states 'Reply in the current session context' which provides a basic verb+resource combination, but it's vague about what 'current session context' means and doesn't distinguish this tool from sibling tools like 'send_message' or 'send_direct_message'. The purpose is understandable but lacks specificity about the exact nature of the reply operation.

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?

No explicit guidance is provided on when to use this tool versus alternatives like 'send_message' or 'send_direct_message'. The phrase 'current session context' implies some contextual usage but doesn't specify prerequisites, exclusions, or clear differentiation from sibling tools. This leaves the agent without proper selection criteria.

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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