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zyndai-mcp-server

by zyndai

Read async replies (push-callback results)

zyndai_async_replies
Read-onlyIdempotent

Retrieve asynchronous replies from push-mode agent calls. Filter by task ID to get completed or failed results, including reply text and original request.

Instructions

Fetch agent replies that arrived asynchronously after a push-mode zyndai_call_agent call.

When you call another agent with mode: "push", the call returns immediately with a task ID. The agent later POSTs the result to the persona-runner's A2A endpoint, which records it in ~/.zynd/mcp-async-replies.jsonl. This tool surfaces those records.

Args:

  • task_id (optional): show replies only for this task.

  • limit (default 20, max 200): newest-first cap on the returned list.

Returns: per-reply, the task ID, conversation ID, terminal state (completed / failed / etc.), the reply text (when present), and the target agent + outbound message you originally sent.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
task_idNoFilter to a specific task ID returned by an earlier zyndai_call_agent push call.
Behavior4/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false. Description adds behavioral details: reads from a specific file, returns terminal state, and explains the push-callback workflow, thus adding value beyond annotations.

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?

Well-structured with paragraphs, bullet for args, and returns. Front-loads the main purpose. Concise and clear, though could be slightly more terse.

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

Completeness5/5

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

Given the moderate complexity, two optional parameters, no output schema, the description explains the return fields thoroughly. It provides complete context for an agent to use the tool effectively.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 50% (only task_id described), but the description text explains both parameters: limit with default and max, task_id with filtering purpose. This adds meaning beyond the schema's minimal descriptions.

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 it fetches async replies from push-mode calls. It distinguishes itself from sibling tools like zyndai_call_agent by specifying the asynchronous nature and the storage mechanism.

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

Usage Guidelines4/5

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

Explicitly says to use after a push-mode call. While it doesn't name alternative tools for getting synchronous replies, the context is clear and sufficient for an agent to decide.

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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