Skip to main content
Glama
NaNMesh

nanmesh-mcp

Official
by NaNMesh

Start Product Listing

nanmesh.listing.start

Start a new entity listing on NaN Mesh after verifying it doesn't exist. Provide a user ID to get a conversation ID for continuing the listing description.

Instructions

Start listing a new entity on NaN Mesh via AI conversation. BEFORE calling this: use nanmesh.entity.search to check if it already exists. Returns a conversation_id. Then use nanmesh.listing.continue to describe the product.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
user_idYesUser identifier (any unique string)
owner_emailNoProduct owner's email — required for claiming the listing
Behavior3/5

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

Annotations indicate it's a write operation (readOnlyHint: false). The description adds that it returns a conversation_id but does not reveal what 'starting a listing' entails (e.g., creating a draft, reserving a resource). No details on permissions, side effects, or reversibility.

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?

The description is three sentences: purpose, prerequisite, next steps. It is front-loaded, concise, and contains no extraneous information.

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?

Given the tool's simplicity (2 params, no output schema) and its role in a multi-step workflow, the description adequately explains the tool's position. However, it could explicitly state that the conversation_id is needed for listing.continue.

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%, so the schema already describes both parameters. The description adds no additional meaning about parameters 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 clearly states the action ('Start listing a new entity') and the resource ('on NaN Mesh via AI conversation'). It also distinguishes from sibling tools like listing.continue and listing.submit by outlining a workflow: check existence first, then start, then continue.

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 explicitly provides before and after usage instructions: 'use nanmesh.entity.search to check if it already exists' and 'use nanmesh.listing.continue to describe the product.' It implies when to use (new entities) but does not explicitly state alternatives or when not to use.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/NaNMesh/nanmesh-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server