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DeepSeek MCP Server

by booleamu

deepseek_list_models

Lists all models currently available on DeepSeek, enabling you to identify and select the right model for your AI tasks.

Instructions

查询 DeepSeek 平台当前可用的模型列表

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

With no annotations, the description carries full responsibility for behavioral transparency. It only says 'query list', implying read-only, but does not disclose response format, ordering, authentication requirements, or any rate limits. Minimal disclosure leaves significant room for surprise.

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?

A single, concise sentence that is front-loaded with the verb and resource. No fluff or repetitive content. Every word adds value.

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 is simple (0 params, no output schema), so minimal description may suffice. However, it lacks context about what the returned list will contain (e.g., model IDs, names, descriptions) and whether this list is dynamic. Slightly under-specified for an agent to know 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, so the schema provides no meaning to add. The description correctly references the resource being queried, and with no params to document, a baseline of 4 is appropriate.

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 clearly states the action (query) and resource (list of available models on DeepSeek platform), making it distinct from sibling tools like deepseek_chat or deepseek_fim. The phrase 'currently available' adds temporal scope without ambiguity.

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?

The description gives no guidance on when to use this tool versus alternatives. It does not mention that it's for discovering available models before choosing a chat/fim tool, nor does it provide any exclusion criteria. The absence of any usage context leaves the agent to infer.

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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