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liu-xindi

polylens-bilibili

by liu-xindi

get_login_status

Read-only

Verify Bilibili login status before using authenticated features such as comments and subtitles. Null means unverifiable, not logged out.

Instructions

联网向平台核验。

is_login 为 null 表示无法验证,与 false 不同。

(login status)

Input Schema

NameRequiredDescriptionDefault
descriptionYes格式为 工具名:目的。

Output Schema

NameRequiredDescriptionDefault
is_loginYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changedv0.12.1
    • addedInput schema / properties / description
      Added value: +{
      +  "description": "格式为 工具名:目的。",
      +  "title": "Description",
      +  "type": "string"
      +}
    • addedInput schema / required
      Added value: +[
      +  "description"
      +]
  2. First observedv0.1.0

TDQS

B3.1/5.0
Behavior4/5

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

Annotations already declare readOnlyHint and openWorldHint, so the safety/network profile is covered. The description still earns credit by disclosing a genuinely non-obvious behavioral detail: is_login can be null meaning 'unable to verify', which is distinct from false. That tri-state semantics is the kind of information structured fields do not convey.

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?

Very short and front-loaded, with the most decision-relevant fact (null ≠ false) surfaced early. The trailing '(login status)' is mildly redundant with the tool name but the text is otherwise waste-free.

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

Completeness3/5

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

An output schema exists, so return values need not be explained, and the null-vs-false note covers the main ambiguity. However, for a tool sitting among four auth-related siblings, the absence of any usage context leaves a real gap in completeness.

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?

Schema description coverage is 100% for the single 'description' parameter, so the schema already carries the semantics (工具名:目的). The description adds nothing about the parameter, so the baseline 3 applies.

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

Purpose3/5

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

The description says it verifies online with the platform (联网向平台核验) and the trailing tag '(login status)' names the resource, so the intent is inferable but not stated as a clean verb+resource. It never distinguishes itself from siblings like start_qr_login, complete_qr_login, or logout, which is exactly where an agent would need disambiguation.

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?

There is no when-to-use guidance at all: nothing says whether this should be called before/after login flows or how it relates to start_qr_login / complete_qr_login. The agent must infer the calling context entirely from the tool name.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.