Skip to main content
Glama
thenavidm

bluesky-mcp

by thenavidm

Get follow suggestions

get_suggested_follows
Read-onlyIdempotent

Find Bluesky accounts worth following. Pass an actor to get similar accounts for niche discovery, or omit it for personalized suggestions.

Instructions

Accounts Bluesky suggests following. With an actor, returns accounts similar to that one, which is the better way to find a niche.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
actorNoFind accounts similar to this handle or DID. Omit for suggestions for you.
limitNoHow many. Default 25.
accountNoWhich connected account to act as, by handle (for example 'alice.bsky.social' or just 'alice'). Defaults to the first connected account. Call list_accounts to see them.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changedv2.0.1
    • removedInput schema / $schema
      Removed value: -"http://json-schema.org/draft-07/schema#"
    • removedInput schema / additionalProperties
      Removed value: -false
  2. First observedv1.1.1

TDQS

A3.5/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is covered. The description adds the mode-dependent behavior (actor changes what the result set means), but says nothing about rate limits, pagination, or whether results are personalized per connected account.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two short sentences with the primary behavior front-loaded and the actor distinction immediately following. The trailing clause about finding a niche is slightly editorial but earns its place as the only usage hint present.

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 read-only, three-optional-parameter tool with no output schema, the description covers what is returned and how the actor parameter changes it. It could still say more about result ordering or the connected-account dimension, but nothing essential is missing.

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%, so all three parameters are already documented, including the actor semantics and the 'omit for suggestions for you' default. The description restates the actor behavior without adding format, ranking, or quality details beyond the schema — baseline 3.

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?

States a specific resource (suggested follow accounts) and clarifies the two operating modes: default 'suggestions for you' vs. actor-seeded 'similar accounts'. It is distinguishable from search_actors, but it never names that sibling, so the differentiation is implicit rather than explicit.

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 phrase 'which is the better way to find a niche' hints at when the actor mode is preferable, but there is no explicit when-to-use guidance, no when-not, and no named alternative (e.g., search_actors) for discovery tasks. Usage is implied rather than directed.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.