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User Likes

get_v2_Likes

User Likes Group: User. Billing per call: 1 Credits. Agents can pay per call ($0.01 via x402/MPP, no API key).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idNoUse the User By Screen Name endpoint to find the ID from a username.
countNoNumber of results
cursorNoCursor for other results

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.3/5.0
Behavior2/5

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

With no annotations provided, the description carries the full burden of explaining behaviorasio. It discloses billing/no-API-key auth, but never states whether the endpoint returns liked tweets, is read-only, has pagination limits, or what side effects (if any) exist. The most important behavioral facts are absent.

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

Conciseness3/5

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

The description is compact and front-loads the grouping and cost. However, two of its three sentences are about billing rather than tool purpose, so the conciseness is achieved at the expense of substance.

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?

The description omits the core function, return value, and usage context. The parameter schema helps but does not compensate for the missing purpose. The tool cannot be safely invoked or selected based on this description alone.

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 itself adds no param semantics, but schema coverage is complete (100%) and each parameter has a useful description, including how to resolve the user ID. Baseline 3 is appropriate since the schema carries the meaning.

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

Purpose2/5

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

The description is essentially a restatement of the title: 'User Likes Group: User' does not say what the tool does or what it returns. The action 'get' only exists in the tool name, not in the description. No specificity is added beyond the category label.

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 when-to-use or when-not-to-use guidance is providedasi. The description contains only billing/grouping info and never distinguishes this from siblings like get_v2_UserTweets or get_v2_UserMedia. An agent has no basis to choose this tool over alternatives from the description.

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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