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New York LLC Publication

Start NY LLC Publication Process

llc_publication_get_started
Read-onlyIdempotent

For someone who wants LLC Publishers to handle their New York LLC publication. Returns how ordering works (the order form asks for the LLC's name, its county and contact details; LLC Publishers looks the LLC up in New York State's records, and the customer confirms it and sees the full cost before paying), the order form link, what the price includes, a timeline of about 8 to 10 weeks, and the price for a county when one is given. Only use when the person has said they want to order. Do NOT use for informational questions; the other tools answer those.

Input Schema

NameRequiredDescriptionDefault
countyNoOptional county name to show county-specific pricing and order link
is_foreignNoWhether the LLC was formed outside New York (foreign LLC). Defaults to false (domestic NY LLC).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.2/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false and openWorldHint=false, so safety is covered. The description goes further, describing the order flow (lookup in NY State records, customer confirmation, cost shown before paying), included items, and an 8-10 week timeline — useful context beyond the annotations, though it omits what the response object actually looks like.

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?

Purpose is front-loaded and every clause carries information, but the core content is delivered as one long sentence with a deep nested parenthetical, which makes it denser than necessary. It is efficient in content yet muddy in structure.

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

Completeness5/5

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

No output schema exists, so the description appropriately enumerates what is returned (ordering process, order form link, inclusions, timeline, county price). For a two-optional-parameter, read-only tool, nothing an agent needs to call or interpret it is missing.

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 both parameters are already documented in the schema, making 3 the baseline. The description adds marginal value by noting county yields county-specific pricing when given, but says nothing about the is_foreign parameter or defaults beyond what the schema 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?

The description states a specific verb (initiate/return how ordering works) and resource (New York LLC publication ordering via LLC Publishers), and distinguishes itself from siblings by declaring it is not for informational questions. It is clear what the tool yields, though it does not name which sibling handles each alternative case.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicit when-to-use ('Only use when the person has said they want to order') and when-not ('Do NOT use for informational questions; the other tools answer those'). An agent has an unambiguous routing rule.

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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