# DingDawg Agent Spend Policy MCP

> DingDawg Agent Spend Policy MCP — dingdawg-dingdawg-agent-spend-policy-mcp. Use this tool when you need to evaluate agent spend actions against a predefined policy, to determine eligibility and ensure compliance. It solves problems related to spend management and policy enforcement, providing outputs such as ELIGIBLE, DENY, or STEP_UP with corresponding reason codes. It is ideal for use cases where automated policy evaluation is required, taking in proposed spend actions and policy data as inputs.

Canonical page: https://skillsregistry.net/skills/dingdawg-dingdawg-agent-spend-policy-mcp  
JSON: https://api.skillsregistry.net/v1/skills/dingdawg-dingdawg-agent-spend-policy-mcp

## Description

Deterministically evaluates whether a proposed agent spend action matches a supplied policy, returning ELIGIBLE, DENY, or STEP_UP with stable reason codes. Provides local policy evidence only, not payment authorization.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** finance
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/rlnklnithy)
- **Repository:** <https://github.com/dingdawg/dingdawg-agent-spend-policy-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "dingdawg-dingdawg-agent-spend-policy-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/dingdawg-dingdawg-agent-spend-policy-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/dingdawg-dingdawg-agent-spend-policy-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt