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HaloPSA MCP Server and API by Cotlet

Reply to user in HaloPSA

halopsa_reply_to_user
Read-onlyIdempotent

Reply to user in the user's own HaloPSA account from ChatGPT, Claude or any AI agent. Returns how to do it in HaloPSA step by step (screens, buttons, fields) and opens nothing by itself; then do it with the cotlet_browser_* tools in the user's HaloPSA Cloud Browser. HaloPSA's official API: HaloPSA has a REST API and its own MCP endpoint (checked 5 Nov 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": "halopsa_reply_to_user"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.7/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint and destructiveHint=false, so safety is covered structurally. The description adds a genuinely useful clarification that nothing is opened or changed by the call itself, but then drifts into an unrelated note about HaloPSA's REST API and MCP endpoint that says nothing about the tool's own behavior or output shape.

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 message is present but the description is padded: "from ChatGPT, Claude or any AI agent" and the closing "HaloPSA's official API... (checked 5 Nov 2026)" add no decision-relevant information, and the actual function appears only after the goal framing.

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 zero parameters, no output schema, and annotations covering the safety profile, the description supplies what an agent needs: that it returns a step-by-step guide and that execution happens via the browser tools. It could say more about what the guide looks like or what to do if the browser session is unavailable, but nothing essential 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 schema meaning to add; baseline applies.

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 the goal (reply to the user in HaloPSA) and then corrects the likely misreading by saying it "Returns how to do it in HaloPSA step by step (screens, buttons, fields) and opens nothing by itself." That makes the actual function — producing instructions, not performing the reply — identifiable, though the real verb is buried in the second sentence behind the goal statement.

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 follow-on path: use the cotlet_browser_* tools in the user's HaloPSA Cloud Browser to execute the returned steps. It does not state exclusions (e.g., when to skip the guide and act directly, or prerequisites like an open browser session), so it falls short of a full when/when-not treatment.

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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