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Glama

Get Account

get_account
Read-onlyIdempotent

Get a Mastodon account profile by ID (e.g., '109382839472938472'). Returns bio, follower/following counts, post history, and verification status.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesNumeric Mastodon account ID (e.g. "109302436954721982")

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesAccount ID
botYesWhether account is a bot
urlYesProfile URL
acctYesFull account address
noteYesBio/note text
avatarYesAvatar image URL
usernameYesUsername handle
created_atYesAccount creation timestamp
display_nameYesDisplay name
statuses_countYesNumber of posts
followers_countYesNumber of followers
following_countYesNumber following

TDQS

A4.1/5.0
Behavior3/5

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

Annotations already provide readOnlyHint, idempotentHint, openWorldHint, and destructiveHint=false. The description adds what the output contains (bio, counts, etc.) but does not disclose additional behavioral traits beyond what annotations imply.

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?

A single sentence that efficiently captures the action, resource, input example, and output summary. No wasted words.

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?

The description is complete for a simple tool with one parameter and an existing output schema. It mentions key return fields, making it sufficient for an agent to understand the tool's purpose.

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%; the schema already includes a clear description and example for the id parameter. The description's mention of 'by ID' adds no new semantic value 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 'Get' and resource 'Mastodon account profile', clearly indicating the input (ID) and output (bio, counts, post history, verification status). It distinguishes from all sibling tools, none of which are for account retrieval.

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?

The description implicitly states when to use (need account by ID) but does not explicitly mention when not to use or alternatives. However, given the tool's simplicity and lack of similar siblings, the guidance is still clear.

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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TDQS

A3.6/5.0
Disambiguation4/5

Most tools have clearly distinct purposes, but there is some overlap between research-oriented tools like ask_pipeworx and deep_research, and between entity_profile and compare_entities. Descriptions help differentiate them, so overall an agent can tell them apart.

Naming Consistency2/5

Tool names are inconsistent, mixing snake_case (ask_pipeworx, list_subscriptions) and camelCase (bag_research, compare_entities). There is no uniform naming pattern, which can be confusing.

Tool Count2/5

With 35 tools, the set is too large for a server named 'Mastodon'. Only a few tools are actually Mastodon-related (e.g., get_account, get_timeline), while the majority are PipeWorx tools unrelated to the core purpose.

Completeness1/5

As a Mastodon server, the toolset is severely incomplete: it lacks basic social media operations like posting statuses, following/unfollowing, and engaging with content. The name misrepresents the actual capabilities.