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Get List Latest Tweets Timeline V2

get_base_apitools_listLatestTweetsTimelineV2

Get List Latest Tweets Timeline V2 Group: List. Billing per call: 1 Credits.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
countNo
cursorNo
listIdNo
proxyUrlNo
resFormatNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

D1.3/5.0
Behavior1/5

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

No annotations exist, so the description carries the full burden of behavioral disclosure. It only states billing credits and provides no information about authentication, return format, pagination, side effects, or typical use cases.

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

Conciseness2/5

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

The description is extremely short but at the cost of under-specification. The first sentence duplicates the title, and the second adds billing info—neither contributes to understanding the tool's functionality. This is not concise; it is merely sparse.

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

Completeness1/5

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

For a tool with no output schema, no annotations, and opaque parameters, this description is severely incomplete. It fails to explain what the tool returns, how to use the parameters, or any behavioral context, making it inadequate for reliable selection and invocation.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, and the description does not explain any of the five parameters (count, cursor, listId, proxyUrl, resFormat). The agent receives no semantic help beyond parameter names, which is insufficient for correct invocation.

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 merely restates the tool name and title ('Get List Latest Tweets Timeline V2') with no additional explanation. It uses a verb and resource but adds no new meaning beyond what the name already conveys, making it essentially a tautology.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines1/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no guidance on when to use this tool versus alternatives. No context, prerequisites, or exclusions are provided, leaving the agent to guess based solely on the name.

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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