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Use this tool whenever the user shares, uploads, or references a PDF file and wants to read, summarise, search, or analyse its contents.

Use this tool when the user provides two or more PDF files and wants them combined into one.

Use this tool whenever the user asks for a QR code or wants a URL/text to be scannable.

Use this tool when the user pastes or provides CSV data and needs it as structured JSON, or wants to query/filter/analyse tabular data.

Use this tool when the user has JSON data (an array of objects) and wants it as a spreadsheet, CSV export, or downloadable table.

Use this tool when the user shares an image that contains text they need extracted, read, or processed.

Use this tool whenever the user shares a Word document (.docx) and wants to read, review, summarise, or analyse its content.

Use this tool when the user shares an Excel or spreadsheet file and wants to read, analyse, query, or transform the data.

Use this tool whenever the user shares an audio file and wants it transcribed to text.

Use this tool when read_url returns empty, partial, or boilerplate content from a URL — it renders the page in a headless browser first, so JavaScript-heavy pages load correctly.

Use this tool when the user wants statistics about a piece of text, or when you need to verify content length/readability before submitting.

Use this tool whenever a URL appears in the conversation and the user wants to read, summarise, quote from, or process the page content.

Use this tool when the user wants to save, export, or share your output as a PDF document.

Use this tool when the user wants their content as an HTML file, a web page, or something they can publish/embed.

Use this tool when the user wants to share content as a link, or when your output is too long to share directly in chat.

Use this tool to persist important information across sessions so it's available in future conversations.

Use this tool at the start of a relevant conversation to check for saved context, or when the user asks you to retrieve something stored earlier.

Use this tool to discover what has been saved in memory — e.g.

Use this tool to split long text into smaller, overlapping chunks suitable for embedding, vector storage, or RAG pipelines.

Use this tool to estimate the token count of a text before sending it to an LLM.

Use this tool to convert raw HTML into clean, readable Markdown.

Use this tool to extract structured JSON data from any unstructured text — emails, reports, web pages, PDFs, meeting notes, etc.

Use this tool to compare two pieces of text and identify exactly what changed between them.

Use this tool to extract, test, or transform text using a regular expression.

Use this tool to generate a cryptographic hash of any text or data string.

Execute any Toolora privacy-sensitive tool with a MagicBlock Private Ephemeral Rollup payment proof.

Run a complete readability + structure analysis on a piece of writing in one call.

Estimate token count + USD cost for a text across every major LLM (GPT-4o, GPT-4o-mini, o1, o1-mini, Claude 3.5 Sonnet/Haiku, Claude 3 Opus, Gemini 1.5 Pro/Flash, Llama 3 70B/8B) in one call.

Find the most repeated words, bigrams (2-word phrases), and trigrams (3-word phrases) in a text — what writers call the 'vocabulary tic' check.

Score a text against a Plain Language baseline and flag corporate/legal jargon (leverage, utilize, synergy, paradigm, stakeholder, actionable, robust, scalable, holistic, deep dive, low-hanging fruit, etc.).

Sweep a text for personally-identifying information and leaked secrets: email addresses, US/international phone numbers, SSNs, Luhn-validated credit-card numbers, OpenAI keys (sk-...), Anthropic keys (sk-ant-...), GitHub PATs (ghp_/gho_/...), AWS access keys (AKIA...), Stripe keys, JWTs, and IPv4 addresses.

Score a text on four tone dimensions in one call: formal, casual, technical, urgent (each 0–1).

Compare two versions of a text (before/after) and return readability + tone deltas.

Fetch a live Solana DEX divergence trading signal from Soliris Arc — the agent-to-agent data market built on Arc (Circle's L1 blockchain).