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DeepSeek-MCP

DeepSeek-MCP

by Abbas-F-R
OverviewSchemaSourceRelated ServersDiscussionsAdmin
TypeScript
Local

explain_code

Explains complex code step by step, breaking down each part to clarify its function and logic.

Instructions

Explain step-by-step how a specific complex piece of code works

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": {
      "code": "<code>"
    },
    "name": "explain_code"
  }
}

Input Schema

NameRequiredDescriptionDefault
codeYesCode snippet to explain
modelNoModel to use (default: deepseek-chat)
providerNoAI Provider

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

B3.2/5.0
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It only says the tool explains code step-by-step, but omits details about potential side effects, required permissions, or the nature of the response (e.g., format, length). This is minimal transparency beyond the basic action.

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 sentence with no wasted words. It clearly communicates the core function and is appropriately front-loaded. Every word contributes to understanding the tool's purpose.

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?

The tool has no output schema and no annotations, so the description needs to be self-sufficient. It lacks information about return values, limitations, usage context, or when to prefer this tool over siblings. For a 3-parameter tool, this is a notable gap.

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 baseline is 3. The description adds no extra meaning beyond the schema; the phrase 'specific complex piece of code' loosely aligns with the 'code' parameter but does not provide additional detail about the parameter values or their usage.

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 uses a specific verb "explain" and a specific resource "a specific complex piece of code", further clarifying the behavior with "step-by-step". It clearly distinguishes from sibling tools like review_code or refactor_code, which focus on different actions.

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. There is no mention of prerequisites, exclusions, or suggestions for other tools. The description only states what the tool does, leaving the agent without context for selection.

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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