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MM by Escrow MCP

Run the delivery check now

mm_check_delivery_now

Ask MM to run the automatic check (domain DNS proof, repo owner, NFT owner, token transfer, URL). Passing objective checks release payment.

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": {
      "deal_id": "<deal_id>",
      "token": "<token>"
    },
    "name": "mm_check_delivery_now"
  }
}

Input Schema

NameRequiredDescriptionDefault
tokenYesYour private deal token (from mm_create_deal or your deal link ?k=...)
deal_idYesDeal ID, like D-7KQ2M9AB

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.4/5.0
Behavior3/5

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

With no annotations, the description carries the full burden. It usefully discloses the five verification categories and the consequence of a pass (payment release), which is real behavioral value. It omits what happens on partial or failed checks, whether the call is idempotent or repeatable, whether it mutates deal state immediately, and whether results are returned in the response.

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?

Two short sentences with zero padding, and the core action is front-loaded ahead of the consequence. Slight loss for the anthropomorphic framing ('Ask MM to run') where a direct verb would be crisper.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a state-affecting trigger with no annotations and no output schema, the definition covers what is checked and what a pass yields. It leaves the agent without the information needed to predict the result of a failed or partial check, or to know whether repeated calls are safe.

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 coverage is 100% and both parameters (deal_id, token) are documented in the schema itself, so the baseline is 3. The description adds no additional meaning about the token's authorization role or the expected deal_id format beyond what the schema already states.

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 (run the automatic check) and enumerates exactly what the check covers: domain DNS proof, repo owner, NFT owner, token transfer, URL. It also states the outcome (passing objective checks release payment), which separates it in spirit from the manual acceptance siblings. It never names an alternative such as mm_accept_delivery or mm_mark_delivered, so the differentiation is implied rather than explicit.

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?

Usage is implied: call this to trigger verification, and payment releases if the objective checks pass. There is no explicit when-to-use or when-not-to-use statement, no guidance on re-running the check, and no mention of how it relates to mm_accept_delivery or mm_mark_delivered for buyers/sellers who want to act manually.

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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