account_get
Retrieve a Mastodon account's details using its unique numeric ID.
Instructions
Get a Mastodon account by its numeric ID.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| account_id | Yes | Numeric account ID. |
Retrieve a Mastodon account's details using its unique numeric ID.
Get a Mastodon account by its numeric ID.
| Name | Required | Description | Default |
|---|---|---|---|
| account_id | Yes | Numeric account ID. |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description must disclose behavioral traits. It only says 'get' without indicating whether the operation is read-only, idempotent, or if it requires authentication. No mention of side effects, rate limits, or data freshness.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Single short sentence that conveys the core purpose without any extraneous words. It is front-loaded and efficient.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple GET operation with one parameter and no output schema, the description is minimally sufficient. However, it lacks behavioral context (e.g., return format, error conditions) which would be helpful for an AI agent.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100% with a description 'Numeric account ID' in the schema. The tool-level description adds no additional meaning beyond what the schema already provides, so baseline 3 is appropriate.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
Description clearly states 'Get a Mastodon account by its numeric ID', specifying verb, resource, and identifier. It distinguishes from sibling tools like account_search which is for searching by text.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance on when to use this tool versus alternatives such as account_search, account_verify, or other account-related tools. The description only states what it does, not when it is appropriate.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/VitexSoftware/mastodon-mcp-server'
If you have feedback or need assistance with the MCP directory API, please join our Discord server