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Trending Mastodon Posts

social.mastodon.trending
Read-onlyIdempotent

Access trending Mastodon content from the Fediverse. Returns post text, author, and engagement metrics like reblogs, favorites, and replies without authentication.

Instructions

Trending posts on Mastodon (Fediverse) — popular content across the decentralized social network. Returns post text, author, reblogs, favourites, replies. No auth needed, $0 upstream (Mastodon.social)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoNumber of trending posts to return (default 10, max 40)

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultNoTool response payload. Shape varies per tool — consult the tool description and inputSchema. May be an object, array, string, or number depending on the upstream provider response.
errorNoPresent only when the call failed. Includes error code, message, request_id, and any provider-specific extras.
Behavior3/5

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

Annotations already indicate read-only, idempotent behavior. The description adds that it returns specific fields (post text, author, etc.) and notes it's from Mastodon.social, but doesn't detail the algorithm or rate limits beyond what is provided in 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?

Two sentences, no wasted words. First sentence states purpose, second sentence lists outputs and practical notes (auth, cost). Ideal front-loading.

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-only tool with one optional parameter and an output schema, the description covers purpose, outputs, and cost. Missing default limit and algorithm details, but overall solid.

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 description coverage is 100% for the only parameter (limit). The description does not discuss parameters further, so the baseline of 3 applies.

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 it returns trending posts on Mastodon, a specific resource. It distinguishes from the sibling 'social.mastodon.tags' by specifying it returns post text, author, reblogs, etc., rather than tags.

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

Usage Guidelines3/5

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

The description gives context (Mastodon trending) and technical requirements (no auth, free), but doesn't explicitly state when to use this versus other trending tools or alternatives like searching.

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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