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reply

Respond to messages in the MCP Talk messaging system by acknowledging the original and sending replies to the sender, facilitating agent communication.

Instructions

Reply to a message (acks original and sends response to sender). Usage: reply(id='msg_id', message='Got it!', namespace='myproject')

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesMessage ID to reply to
messageYesReply message content
from_agentNoYour agent name (optional)
namespaceNoProject namespace for message isolation (optional, defaults to shared queue)
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. It mentions that the tool 'acks original and sends response to sender', which hints at mutation behavior, but does not disclose critical details like permissions needed, rate limits, error conditions, or what happens if the message ID is invalid. For a mutation tool with zero annotation coverage, this is a significant gap in behavioral context.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

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

The description is highly concise and front-loaded, with a clear purpose statement followed by a practical usage example. Every sentence earns its place without redundancy, making it efficient and easy to parse.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given that this is a mutation tool with no annotations and no output schema, the description is incomplete. It lacks information on behavioral traits like error handling, response format, or system constraints. The example usage helps but does not compensate for the missing contextual details needed for reliable tool invocation.

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 100%, so the schema already documents all parameters thoroughly. The description adds minimal value by providing an example usage with 'id', 'message', and 'namespace', but does not explain parameter semantics beyond what the schema provides. Baseline 3 is appropriate when the schema does the heavy lifting.

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

Purpose5/5

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

The description clearly states the specific action ('Reply to a message') and distinguishes it from siblings like 'send' or 'broadcast' by specifying it acks the original message and sends a response to the sender. This provides a precise verb+resource combination with clear differentiation.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description includes a usage example that implies when to use this tool (to reply to a specific message), but it does not explicitly state when to use it versus alternatives like 'send' or 'ack'. There is no guidance on prerequisites or exclusions, leaving usage context somewhat implied rather than explicit.

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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