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Launchator

Search products

search_products
Read-only

Search Launchator's directory of SaaS, AI and indie products by what they do (e.g. 'invoicing for freelancers', 'screen recorder'). Returns the best matches with links.

Input Schema

NameRequiredDescriptionDefault
limitNoDefault 10
queryYesWhat the user is looking for
categoryNoLimit to one category slug (see list_categories)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.7/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true and openWorldHint=false, so safety is covered. The description adds that results are relevance-ranked 'best matches' and include links, but says nothing about result volume behavior, empty-result handling, or pagination (only a cap of 25).

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 compact sentences with the resource, matching basis, and return shape front-loaded. No filler and nothing redundant with the schema.

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?

For a simple read-only search with full schema coverage and no output schema, the description covers what the tool does and how to phrase the query. It leaves minor gaps around result count and how to follow up on a returned product (e.g. get_product).

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?

Schema coverage is 100%, so baseline is 3, but the description goes further by giving concrete query examples ('invoicing for freelancers', 'screen recorder') that show the expected capability-phrase form rather than a product name. That is meaningful guidance beyond the schema's generic 'What the user is looking for'.

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?

States a specific verb and resource ('Search Launchator's directory of SaaS, AI and indie products') plus the matching basis, which is enough to separate it from get_product or list_categories. It never names those siblings, so an agent must infer the boundary itself.

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

Usage Guidelines3/5

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

The phrase 'by what they do' implicitly tells the agent to search by capability rather than product name, which is useful guidance. However, there is no explicit when-to-use or when-not, and no routing to get_product for a known product or list_categories for browsing.

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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