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LaunchpadAI

launch_plans

Read-onlyIdempotent

Returns each plan with its price and listed features. Same data as the pricing page. Pricing: {"unit": "call", "price_usd": 0, "free_quota": "200 per day per IP", "note": "Keyed volume pricing is published at https://launchpadai.eliteaiempire.com/pricing"}.

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.7/5.0
Behavior4/5

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

Annotations already cover the safety profile (readOnly, idempotent, non-destructive), so the description is freed to add operational context -- and it does, disclosing zero cost, a 200-per-day-per-IP free quota, and where keyed volume pricing lives. That quota detail is genuinely useful for an agent deciding how aggressively to call, though return shape and any list-size limits remain unstated.

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 purpose is front-loaded in the first sentence and the feature/price summary is tight. The trailing pricing JSON blob with a full URL is denser than prose would be and adds some visual noise, but each element carries real information about cost and quota.

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?

For a zero-parameter, non-destructive read with a clean annotation set and no output schema, the description supplies what the agent needs: what is returned (plans, prices, features), that the data mirrors the public pricing page, and the call cost and quota. Nothing required to invoke it correctly is missing.

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?

The tool takes no parameters, so there is no parameter semantics for the description to explain; baseline 4 applies. The embedded pricing object is tool-level metadata rather than argument documentation and does not affect this dimension.

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 uses a concrete verb and resource -- it 'returns each plan with its price and listed features' -- so an agent knows exactly what comes back. It does not, however, distinguish itself from the sibling launch_pricing; 'same data as the pricing page' hints at overlap without resolving which tool to call.

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

Usage Guidelines2/5

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

There is no explicit when-to-use or when-not-to-use guidance. The clause 'same data as the pricing page' gestures at a relationship with the pricing tooling but never states a selection rule, so the agent must infer the choice between launch_plans and launch_pricing.

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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