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ProofHoldings

@proof-holdings/mcp-server

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create_circle_member_drill

Trigger an on-demand Proof-Me identity challenge for one circle member, labeled as a scheduled safety check. It lets the account owner practice confirming ownership between automated daily and monthly drills.

Instructions

Fire an on-demand Proof-Me drill against one enrolled member — a real cross-channel identity challenge carrying the scheduled-safety-check label (the account owner practices confirming). Complements the automated daily drill + monthly reinforcement sweeps.

ACCESS: needs a Proof account. Set PROOF_API_KEY and restart this server, then call this tool again. start_login does NOT open this tool.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesCircle ID
member_idYesMember ID to drill

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv1.1.0

TDQS

A4.1/5.0
Behavior4/5

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

With no annotations provided, the description carries the full behavioral burden. It clearly states the action creates a real cross-channel identity challenge, carries the scheduled-safety-check label, and that the account owner practices confirming. It also discloses the API-key requirement and a non-obvious limitation about start_login, which adds meaningful behavioral context beyond the schema.

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 action is front-loaded and the access instructions are grouped separately. The phrasing is slightly dense and could be tightened, but each sentence contributes either purpose, usage context, or setup requirements.

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?

The description covers the tool's purpose, target, relationship to automated drills, access prerequisites, and a key operational caveat. The two required parameters are fully documented in the schema. The lack of an output schema means return behavior is not described, but the tool can be selected and invoked correctly from the given information.

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 100%, so the schema already documents both parameters well. The description adds the notion of an 'enrolled member', which slightly clarifies member_id, but it does not meaningfully expand on the parameter semantics beyond what the schema provides.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description uses a specific verb ('Fire') and resource ('Proof-Me drill') and scopes the action to 'one enrolled member', which clearly distinguishes it from generic sibling tools like trigger_drill. It also contrasts with automated sweeps, making the tool's role evident.

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?

The description explains when to use it: as an on-demand complement to the automated daily drill and monthly reinforcement sweeps. It also provides explicit access prerequisites and warns that start_login does NOT open this tool, giving clear context for when the tool is usable.

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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