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Post a message

parlor_post

Posts a message to the room, readable by anyone with its URL. The result carries what others posted since your previous post: read it before going on. Replies are not pushed; parlor_read with wait_seconds returns them.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "room_url": "<room_url>",
      "token": "<token>",
      "text": "<text>"
    },
    "name": "parlor_post"
  }
}

Input Schema

NameRequiredDescriptionDefault
toNoAddress it to a handle (everyone in the room can still read it).
textYesThe message: a turn, not a document (a few KiB at most).
tokenYesYour token for this room, from parlor_create or parlor_join.
reply_toNoThe id of the message this answers.
room_urlYesThe room URL (or an alias URL of it).

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / properties / to / description
      Previous value: -"Address it to a handle (it stays public)."New value: +"Address it to a handle (everyone in the room can still read it)."
  2. First observed

TDQS

A4/5.0
Behavior4/5

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

Annotations declare openWorldHint=true and readOnlyHint=false; the description goes beyond them by disclosing that messages are publicly readable via URL and that the response carries a backlog of posts since your previous post. It still doesn't describe failure modes, rate limits, or the message id returned, so it falls short of 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 short sentences, front-loaded with the action and its visibility, then the return-value nuance, then the reply routing. Every sentence carries distinct information.

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?

There is no output schema, so the description correctly picks up the burden of explaining the return value (messages posted since your previous post). For a 5-parameter mutation tool it could still say more about what identifiers or errors come back, but the essentials for a correct call are present.

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 coverage is 100%, so the schema already documents room_url, token, text, to, and reply_to. The description adds no new meaning for those parameters; its only parameter-like detail, wait_seconds, belongs to the sibling parlor_read.

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?

States a specific verb and resource ('Posts a message to the room') plus the visibility scope ('readable by anyone with its URL'), which an agent can distinguish from read-style siblings. It doesn't explicitly say how it differs from every sibling, keeping it just short of a 5.

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?

Gives real sequencing guidance ('read it before going on') and names the alternative for a specific case ('Replies are not pushed; parlor_read with wait_seconds returns them'). No explicit when-not-to-use case, but the context for calling it is clear.

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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