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brianellin

Bluesky MCP Server

by brianellin

get-user-posts

Fetch posts from a specific user on Bluesky/ATProtocol by specifying their handle, count, and type (posts or hours). Use this tool to retrieve user content for analysis or integration.

Instructions

Fetch posts from a specific user

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
countYesNumber of posts to fetch or hours to look back
typeYesWhether count represents number of posts or hours to look back
userYesThe handle or DID of the user (e.g., alice.bsky.social)
Behavior2/5

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

With no annotations provided, the description carries full burden for behavioral disclosure. 'Fetch' implies a read operation, but it doesn't disclose rate limits, authentication requirements, pagination behavior, error conditions, or what format the posts are returned in. This is inadequate for a tool with 3 parameters and no output schema.

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?

The description is a single, efficient sentence with zero wasted words. It's appropriately sized for a simple fetch operation and gets straight to the point without unnecessary elaboration.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a tool with 3 parameters, no annotations, and no output schema, the description is insufficient. It doesn't explain what the tool returns, how results are structured, or any behavioral constraints. The agent would need to guess about important aspects of tool behavior.

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?

The description mentions fetching posts 'from a specific user', which aligns with the 'user' parameter in the schema. However, with 100% schema description coverage, the schema already fully documents all 3 parameters, so the description adds minimal value beyond what's already in the structured data.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the verb ('fetch') and resource ('posts from a specific user'), making the purpose immediately understandable. However, it doesn't differentiate from sibling tools like 'get-feed-posts' or 'get-timeline-posts' which also fetch posts, leaving some ambiguity about when this specific tool should be preferred.

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

Usage Guidelines2/5

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

The description provides no guidance on when to use this tool versus alternatives like 'get-feed-posts' or 'search-posts'. It doesn't mention prerequisites, limitations, or typical use cases, leaving the agent to guess based on the name alone.

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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