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bluesky_author_feed

Read-only

Fetch one page of a Bluesky account's public posts, newest first, with text, engagement, and attachments; actor accepts a handle or DID, and cursor continues pagination. Use bluesky_profile for account details, bluesky_posts for known post URIs, bluesky_post_thread for a conversation, or bluesky_post_likes for likers.

Input Schema

NameRequiredDescriptionDefault
actorYesA handle (e.g. bsky.app) or DID
limitNoPage size, 1-100
cursorNoPagination cursor from a previous response's cursor field

Output Schema

NameRequiredDescriptionDefault
dataYesThe tool result payload (shape varies per tool; see each tool's docs resource).

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed3 schema fields changed
    • addedInput schema / properties / actor / description
      Added value: +"A handle (e.g. bsky.app) or DID"
    • addedInput schema / properties / cursor / description
      Added value: +"Pagination cursor from a previous response's cursor field"
    • addedInput schema / properties / limit / description
      Added value: +"Page size, 1-100"
  2. First observed

TDQS

A4.5/5.0
Behavior4/5

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

Annotations already declare readOnlyHint and openWorldHint, so the safety profile is covered. The description adds genuinely useful behavior beyond that: results are paginated one page at a time, ordered newest first, and cursor continues pagination. It does not mention rate limits or auth needs, but for a public read tool that is a minor gap.

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, zero waste: the first front-loads what the tool does and returns, the second handles sibling routing. Every clause earns its place.

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?

With an output schema present, return values needn't be detailed, yet the description still summarizes content shape. Pagination, ordering, actor input, and sibling routing are all covered, so an agent has everything needed to call it correctly.

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 the schema already documents all three parameters, including that actor accepts a handle or DID and that cursor comes from a previous response. The description restates this (handle or DID, cursor continues pagination) but adds no new format or constraint detail, so baseline 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?

States a specific verb (Fetch) and resource (one page of a Bluesky account's public posts) with scope, ordering (newest first), and returned content (text, engagement, attachments). It explicitly differentiates itself from four named siblings, so an agent can route without opening any schema.

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

Usage Guidelines5/5

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

Names four alternatives and the exact condition that selects each: bluesky_profile for account details, bluesky_posts for known post URIs, bluesky_post_thread for a conversation, bluesky_post_likes for likers. Nothing is left to inference about when to pick this tool.

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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