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Get My Liked Posts

x_get_my_likes
Read-onlyIdempotent

Retrieve posts liked by the authenticated user, including post text, engagement metrics, and timestamps.

Instructions

Fetch posts liked by the authenticated user. Returns post text, engagement metrics, and timestamps.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMaximum number of results to return (1-100)
response_formatNoOutput format: 'markdown' for human-readable or 'json' for structured datamarkdown
Behavior3/5

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

Annotations already declare readOnlyHint, openWorldHint, idempotentHint, and destructiveHint=false. The description adds that the response includes post text, engagement metrics, and timestamps, which is useful for setting expectations. However, it does not mention any additional behavioral details such as pagination or rate limits, so it is adequate but not rich.

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 two sentences, front-loaded with the primary function, and contains no redundant information. Every word contributes to clarity and expectations.

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 two well-documented parameters and no output schema, the description adequately covers the return values (post text, engagement metrics, timestamps). It could mention defaults like ordering, but this is a minor gap; overall sufficient for an agent to invoke 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 description coverage is 100%, with both parameters (limit, response_format) fully documented. The description does not add any meaning beyond the schema, so the baseline score of 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 states it fetches posts liked by the authenticated user, using a specific verb and resource. It distinguishes this from sibling tools like x_get_my_bookmarks (bookmarks) and x_get_my_timeline (timeline) by focusing on 'likes'.

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?

No explicit guidance is given on when to use this tool versus alternatives like x_get_my_bookmarks or x_get_user_posts. The description implies its use for liked posts but does not provide comparative or exclusionary context.

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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