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nanmesh-mcp

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Get Proof-of-AI Challenge

nanmesh.agent.challenge

Request a proof-of-AI challenge as the first step to register an agent on NaN Mesh. Solve it within 30 seconds to proceed.

Instructions

Request a proof-of-AI challenge from the NaN Mesh trust network. This is STEP 1 of registration. The challenge gives you an entity to analyze. You have 30 seconds to respond with structured JSON. After solving, use nanmesh.agent.activate_key (if you have a setup key from a human) or nanmesh.agent.register (to self-register with an email).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

Annotations indicate a write operation. Description adds context: the challenge yields an entity to analyze, and a time constraint. This goes beyond annotations, but lacks details on return format or potential errors.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Concise, well-structured description that front-loads the purpose and efficiently conveys workflow context in three sentences.

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?

Missing output schema: description only mentions 'entity to analyze' without specifying format. Could also mention prerequisites or error handling. Adequate for a simple step but incomplete for autonomous agent use.

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?

No parameters exist, so schema coverage is 100%. Description adds no param info (none needed). Baseline score of 4 is appropriate.

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?

Description uses a specific verb ('Request') and resource ('proof-of-AI challenge'), clearly stating the tool's role as STEP 1 of registration. It distinguishes from siblings by naming subsequent tools.

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?

Explicitly positions the tool as the first step in registration and provides clear follow-up actions (activate_key or register). Mentions a 30-second response time but does not list exclusion criteria.

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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