> For the complete documentation index, see [llms.txt](https://docs.anchorprotocol.com/anchor-2/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.anchorprotocol.com/anchor-2/protocol/anchor-governance/text-proposal.md).

# Text Proposal

Any proposal that does not fit the pre-listed proposals can be submitted as a **Text Proposal**. A text poll consists of a simple title that should describe the rationale of the proposal, a short description of the proposal, and an optional field to include an external link.&#x20;

Given that the text poll smart contract only supports short descriptions (limited to 1024 bytes), it is advisable to attach an external link in the `Information Link` field which includes further rationale on the proposal.

## Poll Format

| Title              | Description                          | Optionality |
| ------------------ | ------------------------------------ | ----------- |
| Title              | Poll title                           | Required    |
| Proposal Rationale | Short description of poll rationale  | Required    |
| Information Link   | External URL for further information | Optional    |


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# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.anchorprotocol.com/anchor-2/protocol/anchor-governance/text-proposal.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
