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capabilities
Read-onlyIdempotent

List what can be called now: each action per platform and each op, with its parameters, credits per call, page size, the fields it cannot give and a call that works. Free. The whole list is long: pass platform. Platforms now: bilibili, douyin, facebook, google, instagram, kuaishou, linkedin, meta, pinterest, reddit, telegram, threads, tiktok, wechat, wechat_channels, weibo, x, xiaohongshu, youtube, zhihu.

Input Schema

NameRequiredDescriptionDefault
platformNoOnly this platform.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.7/5.0
Behavior5/5

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

Beyond the annotations, the description discloses important behavior: the result includes per-platform actions, operations, parameters, credits per call, page size, unsupported fields, and a working example call. It also mentions cost (free) and result size (the whole list is long), giving the agent practical context for invocation.

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

Conciseness4/5

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

The information is front-loaded and every major sentence adds useful context. The platform list is long but earns its place because it supplies valid parameter values not encoded in the schema; the only minor cost is readability.

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

Completeness5/5

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

With no output schema, the description still explains what the return value contains. Annotations already cover the safety profile, and the single parameter plus supported platform list is fully addressed, leaving no major gap for an agent calling this tool.

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

Parameters5/5

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

The schema already documents `platform`, but the description adds significant value by explaining why to use it (the whole list is long) and by listing the currently supported platform values. That compensates for the missing enum constraint in the schema and helps the agent pass valid values.

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 states a specific action and resource: 'List what can be called now', then enumerates exactly what the listing includes (actions, ops, parameters, credits, page size, limitations, and an example call). It is clearly a discovery/introspection tool, distinguishable from action-execution siblings such as `call`.

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?

It gives a clear usage condition: the full list is long, so pass `platform` to narrow it. It also notes the tool is free, which helps an agent decide to use it. It does not explicitly state when not to use it or name alternatives, keeping it just below the top score.

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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