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Bloomerang MCP Server and API by Cotlet

Create task in Bloomerang

bloomerang_create_task
Read-onlyIdempotent

Create task in the user's own Bloomerang account from ChatGPT, Claude or any AI agent. Returns how to do it in Bloomerang step by step (screens, buttons, fields) and opens nothing by itself; then do it with the cotlet_browser_* tools in the user's Bloomerang Cloud Browser. Bloomerang's official API: Yes, Bloomerang has a REST API for server-to-server integrations, but no MCP server for AI agents (checked 22 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": "bloomerang_create_task"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.8/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and idempotentHint=true, and the description reinforces this with the explicit statement that it 'opens nothing by itself' and instead returns screens, buttons and fields. That is meaningful added context about the output form and side-effect profile. The mention of Bloomerang's API status is background flavor rather than operational detail, so it is not a full 5.

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?

The core behavior and the follow-up workflow are front-loaded in the first two sentences, which is the right ordering. The trailing sentence about Bloomerang's REST API and the 'checked 22 Oct 2026' date are tangential and do not help an agent decide or act, costing some tightness.

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 parameters and no output schema, the description carries the burden of explaining what comes back, and it does: a step-by-step procedure with screens and fields. It also names the tools needed to actually execute. Minor gaps remain about the shape of that returned content and whether the plan is stable across calls, but nothing critical is missing.

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

Parameters4/5

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

The tool takes zero parameters, so there is no parameter semantics to explain and the baseline of 4 applies. The description does not muddy this by implying inputs that the empty schema does not accept.

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 specific verb and resource (create task in the user's Bloomerang account) and immediately clarifies the non-obvious mode: it returns step-by-step instructions rather than performing the action. That resolves the tension between the 'create' naming and the read-only reality. It does not, however, distinguish this from the other bloomerang_* siblings, leaving open whether those also merely return instructions.

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?

It gives a clear workflow: call this first, then execute the steps with the cotlet_browser_* tools. That is genuine when-to-use guidance. It stops short of naming when NOT to use it or how to choose between this and siblings like bloomerang_log_interaction or bloomerang_record_received_gift, which likely follow the same pattern.

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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