Generate platform-native social posts that are humanized, AI-detection scored and illustrated.
Scored across 5 tools
Each tool has a clearly distinct role: generate_social_post creates from scratch, score_text measures AI-ness, humanize_text rewrites, check_social_job polls async jobs, and list_social_platforms enumerates options. The descriptions even cross-reference each other to steer selection (e.g. prefer score/humanize if you already have a draft), leaving no real ambiguity.
All names use a consistent snake_case verb_noun pattern (generate_social_post, check_social_job, score_text, humanize_text, list_social_platforms). The convention is uniform and predictable across the whole set.
Five tools form a tight, well-scoped set covering the generation/measurement/humanization workflow plus job polling and platform discovery. Every tool earns its place with no redundancy.
The surface covers the core loop of generating, scoring, and humanizing content, with async job lookup and platform listing to support it. Minor gaps exist (no way to cancel or list jobs, no scheduling/publishing), but these fall outside the apparent scope and are easy to work around.
Look up a social post generation job by id. Returns the finished posts once the job completes, or its current progress while it runs. Costs nothing.
Inputs: job_id (required).
Write a social media post from scratch for a given platform and topic. Use this when you do not already have a draft — for example to produce several variations at once, or for platforms whose conventions you are unsure of. If you have already written the post yourself, prefer score_text and humanize_text, which check and fix your own wording instead of replacing it. Returns a job id immediately — poll it with check_social_job, which usually completes in 20-90 seconds. Costs credits.
Inputs: topic (required), platform (required), tone, emoji, +12 more.
Rewrite text so it no longer reads as machine-written, using an external humanizing service. Use this on your own writing when score_text says it would be flagged. Brand names, domains and any lines listed in preserve are restored verbatim afterwards, because the humanizer rewrites whole sentences and splits names. Costs 1 credit per 20 words.
Inputs: text (required), preserve, brand_terms, score_after.
List the platforms generate_social_post supports, with each one's default post length and emoji policy. Costs nothing and makes no network call.
Inputs: no named parameters.
Check how machine-written a piece of text reads, using an external AI detector. Returns a score from 0 to 65 where 0 reads as human and anything above 30 is likely to be flagged. Use this on text you have already written to find out whether it will pass before it is published — it is a measurement you cannot make yourself. Costs 8 credits per call.
Inputs: text (required).
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