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theodieu

autogen-mcp

by theodieu

inject_message

Queue a steering message to guide an ongoing AutoGen conversation. The message is delivered after the current round completes.

Instructions

Queue a steering message for a running conversation.

Delivered to the agents at the next round boundary (after the current round-robin round completes).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
messageYes
conversation_idYes
Behavior3/5

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

Without annotations, the description adds behavioral context (queued, delivered at round boundary), but fails to disclose side effects, permissions, or whether the message can be canceled, leaving some ambiguity.

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 two sentences, front-loading the primary action and adding one behavioral detail, with no wasted words.

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?

For a simple tool with two parameters and no output schema, the description covers the primary purpose and timing but lacks parameter details and return value info, making it adequate but not comprehensive.

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

Parameters2/5

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

With 0% schema coverage, the description does not elaborate on the 'message' or 'conversation_id' parameters (e.g., format, constraints, what constitutes a steering message), leaving agents to infer meaning from type alone.

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 queues a steering message for a running conversation, distinguishing it from sibling 'send_message' via the term 'steering', implying a meta-message for agent coordination.

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 implies use for steering messages and specifies delivery timing (after round-robin round), but does not explicitly compare to alternatives like send_message or provide when-not-to-use scenarios.

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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