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Send a project chat message

send_chat_message
Destructive

Post a message under the connected PaperDock account, marked as created via an AI agent, immediately to the selected private PaperDock project's Chat. It is visible to project members, and later editing or deletion cannot undo prior delivery or reading.

Input Schema

NameRequiredDescriptionDefault
bodyYes
projectIdYes

Output Schema

NameRequiredDescriptionDefault
messageYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.5/5.0
Behavior4/5

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

Adds real context beyond the annotations: the message is tagged as agent-created, is delivered immediately and visible to project members, and later edits/deletions cannot undo delivery or reading. That explains why destructiveHint=true in a way the annotation alone cannot. It still omits failure modes (e.g. what happens on a bad projectId or an oversized body).

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?

One dense, front-loaded sentence that leads with the action and target, then tacks on the delivery warning. No filler, though the trailing irreversibility clause is slightly buried in a comma chain rather than separated.

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?

An output schema exists, so return values need not be explained, and annotations carry the safety profile, which the description reinforces. For a 2-parameter mutation it covers target, visibility, and irreversibility well; the gaps are parameter meaning and error behavior rather than missing core context.

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?

Schema description coverage is 0% and the description never names or characterizes either parameter. 'Selected private PaperDock project' loosely gestures at projectId, but the body parameter, its 4000-character cap, and the uuid format are left entirely to the schema with no semantic gloss.

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

Purpose4/5

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

Specific verb + resource: 'Post a message ... to the selected private PaperDock project's Chat.' Scope (which project, which surface) is clear enough to distinguish it from list_chat_messages and from comment tools. It stops short of explicitly naming the sibling surfaces it is not (create_comment, reply_to_comment).

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?

Usage is only implied: the agent must infer that posting requires a project the account already belongs to and that thread-style replies belong to reply_to_comment instead. No when-to-use, when-not-to-use, or prerequisite conditions (membership, connected account) are stated outright.

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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