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PostLaunchKit Directory

search_projects

Search the PostLaunchKit directory of human-reviewed free tools and projects, including AI agent tooling. Returns published entries only.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tagNo
pageNo
queryNoText to search for in names, descriptions and tags.
categoryNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.2/5.0
Behavior3/5

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

No annotations exist, so the description carries the full burden. It usefully discloses that entries are human-reviewed and that unpublished entries are filtered out, but says nothing about pagination behavior, result limits, ordering, or return shape — meaningful gaps for a search endpoint.

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 tight sentences, front-loaded with the core action and resource, followed immediately by the scope constraint. No filler or repetition.

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

Completeness2/5

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

With four loosely documented optional parameters, no output schema, and no annotations, the description is too thin. It omits pagination semantics, result limits, and how the tag/query/category filters combine.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is only 25%: three of four parameters (tag, page, category) carry no schema description, and the description mentions no parameter at all. It neither explains how tag/query/category interact nor how pagination works, so it fails to compensate for the coverage gap.

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 ('Search') and resource ('PostLaunchKit directory of human-reviewed free tools and projects'), plus a scope refinement ('including AI agent tooling'). An agent can distinguish this from get_project/list_categories/submit_project, though no sibling is named explicitly.

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?

Usage is implied: search when you need to discover entries, use get_project when you have one. The description never states when to prefer it over its siblings or when not to use it. Only the 'published entries only' constraint hints at scope.

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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