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socials_x_notifications

Fetch X (Twitter) notifications for likes, follows, reposts, and mentions with user info and timestamps. Navigate to the notifications page first.

Instructions

Get notifications from X (Twitter). Must navigate to https://x.com/notifications first. Returns likes, follows, reposts, mentions with user info and timestamps.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
countNoNumber of notifications to retrieve (default 10, max 20)
Behavior3/5

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

No annotations are provided, so the description must carry the behavioral burden. It does disclose a prerequisite (navigate first) and the return content (likes, follows, reposts, mentions with timestamps). However, it is ambiguous whether the tool itself navigates or expects prior navigation, and it lacks details on auth, side effects, or error behavior. This is a moderate level of disclosure.

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 core purpose, and includes essential context (navigation requirement and output contents) without wasted words.

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 tool with one parameter and no output schema, the description covers the main behavior, prerequisites, and return values. The only gap is the ambiguous navigation requirement (whether the tool navigates itself or expects a prior call), which prevents a perfect score.

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 input schema already provides 100% coverage of the single 'count' parameter with a clear description (default 10, max 20). The tool description does not add any additional parameter semantics, so the baseline score of 3 applies.

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 'Get notifications from X (Twitter)' with a specific verb and resource. It also enumerates the types of notifications returned (likes, follows, reposts, mentions) with user info and timestamps, distinguishing it from siblings like socials_x_search or socials_get_feed.

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

Usage Guidelines4/5

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

The description provides a clear precondition: 'Must navigate to https://x.com/notifications first.' This tells the agent when it's appropriate to use the tool (when on the notifications page). However, it does not explicitly mention alternatives or exclusions, though sibling names imply differentiation.

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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