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Code MCP Server

Code MCP Server

by agentics-ai
OverviewSchemaSourceRelated ServersDiscussionsAdmin
TypeScript
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install_dependencies

Install all project dependencies automatically. Specify the project path to resolve missing packages and prepare the environment.

Instructions

Install all project dependencies

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "install_dependencies"
  }
}

Input Schema

NameRequiredDescriptionDefault
pathNoProject path

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv2.0.0

TDQS

C2.9/5.0
Behavior2/5

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

The description is minimal and does not disclose behavioral traits such as whether it modifies files, requires network access, or assumes a specific dependency manager. With no annotations, the description should provide more context.

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?

At four words, the description is extremely concise. It is front-loaded and efficient, but the brevity sacrifices completeness in other dimensions.

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

Completeness2/5

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

No output schema or annotations are provided, and the description is too sparse to fully contextualize the tool. For a dependency installation tool, details like required environment or expected behavior are missing, making it incomplete.

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%, so the schema already defines the sole parameter. The description adds no further meaning beyond what the schema provides, meeting the baseline for high coverage but not exceeding it.

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 action (install) and resource (all project dependencies). It is unambiguous but does not differentiate from sibling tools like npm_command or pip_install, which also handle dependencies.

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 versus alternatives (e.g., npm_command, pip_install, run_command). Given the many sibling tools, this omission reduces usability for an AI agent.

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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