Learn to read faster with paced speed reading practice inside the chat.
Scored across 3 tools
The three tools target clearly distinct user intents: estimating reading time, running a timed reading-speed test, and displaying text word-by-word for practice. Their descriptions explicitly separate estimation, assessment-style practice, and reader training.
All tool names use snake_case with a leading action verb and descriptive noun phrase: estimate_reading_time, run_reading_speed_test, show_speed_reader. The pattern is predictable and readable.
Three tools are well scoped for a focused speed-reading utility. Each tool covers a distinct mode of use without redundant variants.
The surface covers the core speed-reading workflow: estimate time, take a practice test, and use a paced reader. A minor gap is the lack of an explicit answer-checking or results-tracking operation, though the test description suggests scoring is handled by widget metadata.
Use this when the user needs a reading-time or speaking-time estimate from text or a word count. Accepts text up to 20,000 characters or 1 to 2,000,000 words, plus 100 to 1,000 wpm or a reader type. Returns a 150 to 800 wpm table; it does not assess reading ability.
Inputs: text, word_count, reader_type, words_per_minute. Returns: pace_table, word_count, reading_time, selected_wpm, +3 more
Use this when the user wants an original timed reading-speed practice test with comprehension questions. Accepts short, medium, or long passages only. Returns the passage length and four multiple-choice questions with four options each; correct options stay in widget-only metadata. Do not use for medical or learning-disability assessment.
Inputs: passage_length (required). Returns: questions, limit_note, word_count, instructions, +2 more
Use this when the user wants to practice reading supplied text one word at a time. Accepts up to 20,000 characters, 100 to 1,000 words per minute, and 1 to 4 words per flash. Returns the word count and scheduled reading time; it is a training aid and does not measure comprehension.
Inputs: text (required), words_per_flash, words_per_minute. Returns: limit_note, word_count, scheduled_time, words_per_flash, +2 more
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
Loading tool schema changelog…
Speed-read web pages, books and Claude's answers one word at a time, right in the chat.
Turn any article, document, or chat reply into a one-word-at-a-time RSVP reading session.
Take a typing speed test without leaving the chat.
Text to speech for your AI. Your AI can send text to Doc Player to read it aloud. You will see a reader window with the text and you can control the playback sentence by sentence. Find an example here: https://documentplayer.com/connect-ai/
Add one secure layer between your agents and this server.
