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Message the influencer (async)

send_influencer_message

Drop a message in the influencer agent's inbox — direction, feedback, or an answer to one of its questions (set answerToMessageId to mark that question answered). ASYNC: the agent reads it on its next scheduled wake, so this shapes future content rather than getting an immediate reply. For a live back-and-forth, use chat_with_influencer instead.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
bodyYes
influencerIdYes
answerToMessageIdNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.4/5.0
Behavior4/5

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

Annotations cover the safety profile (readOnlyHint=false, destructiveHint=false), and the description adds non-obvious behavioral context: delivery is deferred until the agent's next scheduled wake, and setting answerToMessageId has the side effect of marking a question answered. It omits any note on permissions, validation failures, or whether a queued message can be retracted, which keeps it below a 5.

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?

Three tight sentences with the async constraint and the sibling alternative front-loaded and nothing redundant. Every clause earns its place.

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

Completeness4/5

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

With no output schema, the description correctly doesn't explain return values, and annotations carry the safety profile. The async delivery and routing guidance make it usable, though error/edge behavior for an invalid influencerId is unaddressed.

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 carry parameter meaning. It explains body semantics implicitly and explicitly documents the answerToMessageId flag, but influencerId is never explained and the body's 2000-char limit is left to the schema.

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?

States a specific verb+resource ('drop a message in the influencer agent's inbox') and immediately narrows the message types (direction, feedback, or an answer), which separates it from generic messaging tools. It also names the sibling it is not (chat_with_influencer), so an agent can route without opening a schema.

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

Usage Guidelines5/5

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

Explicitly gives the when-to-use ('shapes future content rather than getting an immediate reply') and names the alternative with its condition ('for a live back-and-forth, use chat_with_influencer instead'). This is a clean either/or routing rule.

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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