get_user_likes
Retrieve a Twitter user's liked tweets via the X API, supporting cursor-based pagination.
Instructions
Fetch a Twitter user's liked tweets via API
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| cursor | No | Pagination cursor. |
Retrieve a Twitter user's liked tweets via the X API, supporting cursor-based pagination.
Fetch a Twitter user's liked tweets via API
| Name | Required | Description | Default |
|---|---|---|---|
| cursor | No | Pagination cursor. |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true, aligning with 'Fetch'. The description adds no behavioral context beyond what annotations provide (e.g., no mention of rate limits, pagination behavior, or data availability). No contradiction found.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is concise (one sentence) but lacks critical information about user scope. Conciseness at the expense of clarity is not optimal.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple tool with one parameter and no output schema, the description fails to specify whose likes are fetched or how pagination works. This omission leaves the agent uncertain about correct usage.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100% with cursor described as 'Pagination cursor.' The description adds no additional meaning or examples, so it meets but does not exceed baseline.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description states 'Fetch a Twitter user's liked tweets' but does not specify which user. The input schema lacks a user parameter, implying it may be the authenticated user, but this is not clarified. The verb 'Fetch' and resource are clear, but scope ambiguity reduces clarity.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when to use this tool versus siblings like get_user_tweets or get_user_media. The description only states 'via API', which is redundant and unhelpful for tool selection.
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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