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Podium MCP Server and API by Cotlet

Assign conversation in Podium

podium_assign_conversation
Read-onlyIdempotent

Assign conversation in the user's own Podium account from ChatGPT, Claude or any AI agent. Returns how to do it in Podium step by step (screens, buttons, fields) and opens nothing by itself; then do it with the cotlet_browser_* tools in the user's Podium Cloud Browser. Podium's official API: Podium has an official REST API (v4, OAuth 2) but no official MCP server (checked 23 Oct 2026).

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "podium_assign_conversation"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.6/5.0
Behavior3/5

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

The annotations already declare readOnlyHint=true, idempotentHint=true and destructiveHint=false, and the description reinforces this with the explicit 'opens nothing by itself' clarification, which is genuinely useful context. Beyond that it adds little: it does not describe the structure of the returned guide, whether the steps vary by account configuration, or failure behavior.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The core sentences are front-loaded and efficient, and they sit well together. The trailing paragraph about Podium's REST API and missing MCP server is tangential to invoking this tool and reads as boilerplate.

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?

For a zero-parameter tool with no output schema, the definition does enough: it states the return content (step-by-step screens/buttons/fields) and the follow-up path through the browser tools. It could still say more about how the guide is scoped when no conversation identifier is supplied.

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?

The tool takes zero parameters and schema coverage is therefore nominal, so there is nothing for the description to clarify. With no parameters at all, one might ask how the tool knows which conversation to describe, and this is not addressed.

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?

The description states a concrete outcome: it returns step-by-step instructions (screens, buttons, fields) for assigning a conversation in the user's Podium account. It also implicitly distinguishes itself from the cotlet_browser_* tools by clarifying that it performs no action itself. The tool name suggests the assignment happens here, but the description corrects that reading.

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?

It gives a clear workflow: call this to get instructions, then carry them out with cotlet_browser_* in the Podium Cloud Browser. What it does not cover is how to locate the conversation first (for example, whether to use podium_list_conversations), and it names no other alternative.

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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