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vebhost_read_file

Прочитать текстовый файл сайта: HTML, CSS, JS, JSON, SVG, TXT, MD, XML, CSV.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "slug": "<slug>",
      "path": "<path>"
    },
    "name": "vebhost_read_file"
  }
}

Input Schema

NameRequiredDescriptionDefault
pathYesПуть от корня сайта, например css/app.css
slugYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full burden, yet it says nothing beyond the read operation itself. It does not disclose encoding assumptions, file-size or path-scope limits, what happens when the file is missing, or whether large files are truncated — all of which an agent needs before calling a filesystem read.

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?

A single front-loaded sentence with a compact format enumeration; there is no filler. Slightly more context on the undefined parameter would have been worth the extra words.

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?

The tool itself is simple (two required params, no output schema), and the description does establish what is read and in which formats. However, with no annotations, no output schema, and an entirely undocumented 'slug' parameter, the definition leaves real gaps an agent must guess at.

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

Parameters2/5

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

Schema coverage is only 50%: 'path' is documented with an example ('css/app.css'), while 'slug' has no description anywhere. The description adds no parameter meaning at all — the format list maps loosely to 'path' but never explains what slug identifies or how the two combine.

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 states a specific verb and resource ('Прочитать текстовый файл сайта') and enumerates the supported text formats (HTML, CSS, JS, JSON, SVG, TXT, MD, XML, CSV), which lets an agent tell it apart from the write/delete file siblings. It stops short of naming any sibling or stating the read-only scope explicitly.

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

Usage Guidelines3/5

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

Usage is only implied: the format list signals that this tool covers text-based files and presumably not binaries such as images, but there is no explicit 'use this when…, use vebhost_download instead when…' guidance. No prerequisites or exclusions are stated.

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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