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thenavidm

bluesky-mcp

by thenavidm

See who liked a post

get_post_likes
Read-onlyIdempotent

Fetch the list of users who liked a specific Bluesky post, newest first. Supports pagination with limit and cursor parameters.

Instructions

The accounts that liked a specific post, newest first.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
uriYesat:// URI or bsky.app link of the post.
limitNoHow many to return per page, 1-100.
cursorNoContinue from a previous page. Pass the `cursor` attribute from the last result.
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.
Install Server

TDQS

B3.4/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint, so the safety profile is covered. The description adds the useful behavioral detail that results are 'newest first' but says nothing about pagination, rate limits, or error behavior.

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?

The description is a single clear sentence with no wasted words. It is appropriately concise, though it could have mentioned the need for a post URI without significantly reducing clarity.

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

Completeness3/5

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

For a simple read-only tool, the description plus schema and annotations cover most operational needs. However, it lacks usage guidance among siblings and does not hint at the output shape beyond 'accounts', leaving some ambiguity for a tool without an output schema.

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 schema fully documents all four parameters with descriptions (100% coverage). The description adds no extra meaning beyond what the schema already provides, so baseline 3 is appropriate.

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 identifies the tool as retrieving the accounts that liked a specific post, with ordering ('newest first'). This distinguishes it from get_liked_posts (posts liked by a user) and get_reposted_by (accounts that reposted), so an agent can select it correctly.

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. It does not mention that a post URI is required, nor does it reference sibling tools like get_liked_posts or get_reposted_by for contrasting use cases.

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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