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Realmagnum

DeepSeek Search & Fetch MCP

by Realmagnum

deepseek_search

Search the live web via DeepSeek's Search API to get ranked results with titles, URLs, summaries, and optional page content for research or monitoring.

Instructions

Search the live web using DeepSeek's Search API. Returns ranked results with title, URL, summary, relevance and authority; optionally includes page content.

Input Schema

NameRequiredDescriptionDefault
countNo
queryYesSearch query, 1-128 characters. Supports site:, lang:, after:, before:, quoted phrases, and exclusions.
localizationNoOptional IP address for localized results.
need_contentNo
ori_questionNoOriginal user question, up to 128 characters.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

A3.8/5.0
Behavior4/5

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

With no annotations, the description carries the full burden and does disclose useful behavior: it returns ranked results with specific fields and optionally includes page content. It does not mention rate limits, authentication needs, or result freshness, but for a read-only search tool this is reasonably transparent.

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?

Two sentences, front-loaded with the core purpose and followed by return details. Every sentence adds value with no filler.

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

Completeness4/5

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

Given no output schema and no annotations, the description helpfully specifies return fields and optional content. It leaves minor parameter details to the schema, which is acceptable because the schema documents some of them, though a note on `count` or `ori_question` would improve completeness.

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 60%. The description adds meaning for `need_content` by mentioning optional page content, but it does not explain `count`, `ori_question`, or `localization` beyond what the schema already provides. Baseline 3 is appropriate for moderate coverage.

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: 'Search the live web using DeepSeek's Search API.' It also clarifies the return format. It does not explicitly distinguish this tool from the sibling `deepseek_fetch`, so it falls short of a 5.

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?

The phrase 'Search the live web' implies usage for web search queries, but there is no explicit guidance on when to use this tool versus alternatives such as `deepseek_fetch`, nor are there any exclusions or prerequisites.

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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