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Forecall

Lint your MCP tool descriptions before AI agents call them

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This is 1 of 39 launches in MCP servers and agent skills — see how it stacks up on momentum and crowding →

12 other launches read as similar to this one →

Details

External ID
1267593
Source
PH
Company
—
Product
Forecall
Website domain
producthunt.com
Launched
Oct. 3, 2026
Cohort
—
Upvotes
5
Upvotes percentile
0.93
Tags
API, Developer Tools, Artificial Intelligence

Description

AI agents choose and call MCP tools by reading their names, descriptions and input schemas. Vague text means the wrong tool, wrong arguments, or no call at all. Forecall scores each tool out of 100 on six items (purpose, when to use, arguments, return value, constraints, examples), finds tools that are easy to mix up, and explains every issue with a code and severity. Free on the web with no sign-up, or run npx forecall lint locally and in CI.

Enrichment

Niche
MCP servers and agent skills
Vertical
Horizontal
Function
Dev tools
Audience
Developer
AI stance
AI-native
Project type
Commercial product
Normalized one-liner
linter for model context protocol tool descriptions
Manually corrected
False

Could you build this?

Yes A static analysis / linter tool for MCP tool schemas that uses rule-based checks and an LLM evaluation prompt to score documentation quality.

Competitors

Other products that read as similar to this one — 12 launches clear the similarity bar, closest 8 shown.

Attention rank: #2 of 13 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 323 days after the earliest competitor.

Other launches for this product