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godesigntech

Freelancer MCP Server

by godesigntech

Get Thread Messages

freelancer_get_messages
Read-onlyIdempotent

Retrieve messages from a Freelancer.com conversation thread to review client communications and read chat history.

Instructions

Retrieve messages from a specific Freelancer.com thread.

Args:

  • thread_id (string | number): Thread ID, or a Freelancer.com chat/message link containing one (get the ID from freelancer_list_threads if unknown)

  • limit (number, 1-50, default 20): Number of messages

  • offset (number, default 0): Pagination offset

  • account (string, optional): Which configured Freelancer account to use (see freelancer_list_accounts for labels). Omit to use your default/only account.

Returns: messages with text, sender, timestamp and attachment info

Use when: "Show messages in thread 12345", "What did the client say?", "Read the conversation", "Read this chat: https://www.freelancer.com/messages/thread/12345"

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoNumber of messages
offsetNoPagination offset
accountNoWhich configured Freelancer account to use (see freelancer_list_accounts for labels). Omit to use your default/only account.
thread_idYesThread ID, or a chat link containing one
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already indicate readOnlyHint=true, idempotentHint=true, destructiveHint=false. The description adds value by specifying the return format (messages with text, sender, timestamp, attachment info) and that thread_id can accept a link. This enriches behavioral understanding without contradicting annotations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is well-organized into sections (Args, Returns, Use when) and is free of redundancy. Every sentence serves a purpose, making it easy for the agent to parse quickly.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the 4 parameters, high schema coverage, and presence of annotations, the description thoroughly covers the tool's behavior: parameter details, return structure, usage examples, and guidance on sibling tools. No critical information is missing for correct agent usage.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, but the description adds extra meaning: for thread_id it mentions accepting a chat link, for limit it restates the range and default, and for account it references freelancer_list_accounts for labels. This goes beyond the schema's descriptions.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool retrieves messages from a specific Freelancer.com thread, with concrete usage examples ('Show messages in thread 12345'). It distinguishes from siblings like freelancer_list_threads (listing threads) and freelancer_send_message (sending messages).

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicit 'Use when' examples are provided, and it tells the agent to use freelancer_list_threads if the thread_id is unknown. This gives clear context for when to invoke this tool versus alternatives.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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