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Delete Project

delete_project
Destructive

Use this when working with RetailHardHat projects records in the connected organization. Delete project. Subject to configured MCP approval rules; may cascade to related records. No change occurs until a human approves the exact request in Settings > MCP and execute_approved_action is called. MCP approval requirements are configurable by the organization administrator; business workflow approvals always apply.

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": {
      "id": "<id>"
    },
    "name": "delete_project"
  }
}

Input Schema

NameRequiredDescriptionDefault
idYes

Output Schema

NameRequiredDescriptionDefault
dataYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior4/5

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

Annotations already declare destructiveHint=true and idempotentHint=false, yet the description still adds material context: deletion may cascade to related records, and no change occurs until a human approves the exact request. That is real behavioral disclosure beyond the structured fields. It stops short of saying whether the delete is recoverable or what permissions are required.

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 deletion semantics and approval gate are front-loaded after a filler opener. The approval point is then restated twice more ('Subject to configured MCP approval rules' and 'MCP approval requirements are configurable by the organization administrator'), which is redundant padding for a one-parameter tool.

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 destructive mutation with an output schema present, the description covers the key agent-facing facts: cascade risk and the approval/execute_approved_action handshake. Remaining gaps — reversibility and permission requirements — are secondary given the annotations and output schema carry part of the burden.

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 description coverage is 0%, so the description is the only possible source of parameter meaning — and it says nothing about the single `id` parameter. The schema's uuid format and pattern constrain the value type adequately, but nothing clarifies which entity's id is expected or where to obtain it.

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 ('Delete project') scoped to the connected organization, so the agent can tell it apart from update_project or list_projects. It doesn't distinguish itself from the dozens of other delete_* siblings (delete_site, delete_project_task) beyond the name itself, but the resource is unambiguous.

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?

The opening sentence ('Use this when working with RetailHardHat projects records') is templated boilerplate and gives no real selection criteria. The approval-flow note does tell the agent what to do next (call execute_approved_action after human approval), which is genuine usage guidance, but there are no exclusions, prerequisites, or named alternatives.

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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