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McxM123

acunetix-mcp-server

by McxM123

acunetix_me

Retrieve the current authenticated user's information from Acunetix to verify identity and permissions, ensuring proper session context.

Instructions

获取当前登录用户信息(GraphQL)。

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

No annotations are provided, so the description is the sole source. It implies a read operation and indicates the GraphQL method, but does not disclose whether authentication is required, error scenarios, or what exact data is returned. This is a minimal disclosure appropriate for a simple getter, but not rich.

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 a single, concise sentence that directly states the tool's purpose without extraneous information. It is well-structured and front-loaded.

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?

Given the simplicity of the tool (0 params, no output schema), the description is adequate but lacks detail on the return content (e.g., specific user fields) and any usage context such as verifying login status. This makes it somewhat incomplete for an agent to fully understand what to expect.

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

Parameters4/5

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

The tool has zero parameters, and the schema is empty, so there are no parameter semantics to clarify. The baseline of 4 applies as the description need not compensate for any undocumented parameters.

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

Purpose4/5

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

The description clearly states the tool retrieves current user information via GraphQL, using a specific verb ('获取') and resource. However, it does not explicitly differentiate from sibling tools like acunetix_gql, so it doesn't fully meet the 5-criteria.

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 guidance is provided on when to use this tool instead of alternatives such as acunetix_gql or login-related tools. There is no mention of prerequisites or exclusions, leaving the agent without usage context.

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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