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mastodon-mcp

mastodon-mcp

by thenavidm
OverviewSchemaSourceRelated ServersDiscussionsAdmin
TypeScript
Hybrid

Mark notifications read

mark_read
Idempotent

Mark notifications as read to track your progress, ensuring future get_notifications calls return only unread items. Syncs across all clients, affecting only your view.

Instructions

Record how far you have read, so the next get_notifications with since_id returns only what is new. Syncs to the web app and every other client. Affects only your own view.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "mark_read"
  }
}

Input Schema

NameRequiredDescriptionDefault
accountNoWhich connected account to act as. Matches a full handle (alice@example.social), a bare username (alice), or an instance (example.social). Defaults to the first connected account. Call list_accounts to see them.
home_idNoLast home-timeline status id read.
notifications_idNoLast notification id read. Take it from get_notifications.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

A4.4/5.0
Behavior5/5

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

The description adds meaningful behavioral context beyond annotations: it syncs across clients and affects only the user's own view. It also explains the downstream effect on get_notifications with since_id. No contradiction with 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?

Three tightly written sentences, with the core purpose front-loaded and supporting behavior in the following sentences. No redundant or filler content.

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, optional-parameter mutation tool with no required fields and no output schema, the description covers purpose, effect, sync behavior, and scope. It does not clarify behavior when called with no parameters, but this is a minor gap given the overall clarity.

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?

Schema coverage is 100%, so each parameter is already documented. The description adds some relational meaning by connecting the read position to get_notifications with since_id, but it does not substantially add parameter-level detail beyond the schema.

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 and resource: 'Record how far you have read' and names the effect on get_notifications with since_id. It clearly distinguishes this from siblings like dismiss_notification or clear_notifications by stating it affects only your own view.

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 gives clear context: use this to record read position so subsequent get_notifications calls return only new items. It does not explicitly list exclusions or alternatives, but the usage scenario is concrete enough for an agent to decide when to invoke it.

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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