Skip to main content
Glama

Launchpad HQ

Get pricing facts

get_pricing_facts
Read-onlyIdempotent

Use this when the user asks what one AI tool costs or what its free tier includes. Returns verified pricing facts first; catalog text only when no verified price exists, labeled catalog_only.

Input Schema

NameRequiredDescriptionDefault
platformYesA Launchpad HQ platform slug or name.

Output Schema

NameRequiredDescriptionDefault
plansYes
platformYes
free_tierYes
lifecycleYes
data_as_ofYes
api_pricingYes
attributionYes
usage_limitsYes
verificationYes
catalog_pricing_textYes

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 readOnly/idempotent/non-destructive/closed-world, and the description adds genuinely new behavioral context: verified facts take precedence and unverified text is labeled catalog_only. That labeling contract is useful and not derivable from structured fields, though rate limits or match-failure behavior 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.

Conciseness5/5

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

Two sentences, both earning their place: the first is the trigger, the second is the result-precedence rule. Front-loaded with the usage condition and no filler.

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?

With an output schema present and annotations covering the safety profile, the description only needs to convey trigger and sourcing semantics, which it does. Minor gaps: behavior when the platform slug is unknown or ambiguous is not addressed.

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% and the single parameter already documents that it accepts a Launchpad HQ slug or name. The description adds no format or normalization guidance beyond that, so this is baseline-appropriate rather than enriched.

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?

Names a specific resource (pricing facts / free tier) and scopes it to a single AI tool, which implicitly separates it from the sibling 'compare' tool. An agent can tell this is a single-entity lookup rather than a comparison or search.

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?

Gives an explicit trigger: 'Use this when the user asks what one AI tool costs or what its free tier includes.' The 'one AI tool' framing contrasts with compare/find_free_alternatives, though those siblings are never named and no when-not condition is stated.

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

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.