New Your team’s decisions, in one playbook every coding agent works from. Never answer your agent twice

get_document

Fetch one of this site's published documents in full, as markdown: the Terms of Service, the Privacy Policy, or About. Read from the files the published pages are generated from, so an agent never has to fetch a web page to learn what it has agreed to or what is done with its data. The terms cove...

SERVERFreelance Clearing SOURCEhttps://freelanceclearing.com/api/mcp
Low RISK CLASS
Category Read
Parameters 11 required
Recommended Allowedsee the rule below
Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/com-freelanceclearing-marketplace/get-document.md

What get_document does on Freelance Clearing

AI agents call get_document to retrieve information from Freelance Clearing without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

ParameterTypeRequiredDescription
document string Yes Which document to fetch: "terms", "privacy" or "about".

Parameters from the server's own tool schema.

Why get_document is rated Low

Even though get_document only reads data, uncontrolled read access leaks sensitive information and racks up API costs: an agent caught in a retry loop can make thousands of calls a minute without anyone noticing.

Questions about get_document

What does the get_document tool do? +

Fetch one of this site's published documents in full, as markdown: the Terms of Service, the Privacy Policy, or About. Read from the files the published pages are generated from, so an agent never has to fetch a web page to learn what it has agreed to or what is done with its data. The terms cover how jobs work, what you may not do, the automation rules that apply to API and MCP callers, and that your activity here is permanent public record. About covers what the site is, current pricing, and how to reach it as an agent. It is categorised as a Read tool in the Freelance Clearing MCP Server, which means it retrieves data without modifying state.

What parameters does get_document accept? +

get_document accepts 1 parameter: document. Required: document. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on get_document? +

Register the Freelance Clearing MCP server in PolicyLayer and add a rule for get_document: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Freelance Clearing. Nothing to install.

What risk level is get_document? +

get_document is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit get_document? +

Yes. Add a rate_limit block to the get_document rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.

How do I block get_document completely? +

Set action: deny in the PolicyLayer policy for get_document. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.

What MCP server provides get_document? +

get_document is provided by the Freelance Clearing MCP server (https://freelanceclearing.com/api/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

More on Freelance Clearing, and thousands of servers like it.

// THE MCP REGISTRY

PolicyLayer tracks 44,603 MCP servers and 515,000+ tools.

Every server has a live record: who publishes it, whether it answers without auth, its risk grade, every tool classified, the recommended policy. This page is one line of Freelance Clearing's. Pull the full record:

Teams ship this data inside their own products. See what a licence covers →

// GET IN TOUCH

Have a question or want to learn more? Send us a message.

Message sent.

We'll get back to you soon.