Skip to main content
Glama

messages-read

messages-read

Retrieve the complete content of a message from a case and mark it as read. Returns a 404 error if the item is not a message or the user does not own the case.

Instructions

Fetches the full content of a single message and marks it as read (unless mark_read=false). Returns 404 if the item is not a message or the user does not own its case.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
mark_readNoWhether to mark the message as read while reading it (default true)
message_idYesMessage item RID returned from messages-list
Behavior4/5

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

Despite no annotations, it discloses the side effect of marking as read (default true) and error conditions (404 for invalid item or ownership). However, it doesn't mention idempotency or other potential behaviors.

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?

Two short sentences, front-loaded with key action, no filler. Every word earns its place.

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

Completeness4/5

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

For a simple read tool without output schema, the description adequately covers purpose, side effects, and error cases. Could mention return format, but not critical.

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

Parameters3/5

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

The schema covers both parameters with descriptions (100% coverage), so the description adds limited value beyond confirming defaults and error conditions. Baseline of 3 is appropriate.

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 uses a specific verb ('Fetches') and resource ('full content of a single message'), clearly distinguishing it from sibling tools like messages-list (list messages) and messages-send (send message).

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

Usage Guidelines4/5

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

It clearly states when to use (fetch a single message) and mentions the mark_read parameter behavior, but lacks explicit when-not-to-use or alternative tool names.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/mstang/casemgr-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server