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SK-DEV-AI

codesearch MCP Server

by SK-DEV-AI

docs

Search and retrieve library documentation across ReadTheDocs, DevDocs, llms.txt, and Context7 with quota-free sources first, then fetch full pages or structured content by URL.

Instructions

Documentation operations. Default action runs smart fallback (ReadTheDocs→DevDocs→llms.txt→Context7, quota-free sources first). After finding docs, use fetch(url) to read full pages or devdocs_fetch_content for structured content. e.g. docs(query='authentication', library='express')

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
fastNo
pathNo
slugNo
queryNo
actionNosearch
libraryNo
projectNo
versionNo
providerNoGit provider for context7_add_repo (github, gitlab)
repo_urlNoRepository URL for context7_add_repo
library_idNoContext7 library ID (skip search)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.1

TDQS

C2.7/5.0
Behavior2/5

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

With no annotations, the description carries the full behavioral burden. It usefully discloses the default fallback order and quota-free-source preference, but it does not explain the behavior of the many devdocs/rtd/context7 actions, permissions, rate limits, or return characteristics.

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?

The description is short, front-loaded, and free of filler. It could be slightly tighter because "Documentation operations" largely restates the tool name, but overall it is efficient.

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?

This is a high-complexity tool with 11 parameters, 14 actions, no annotations, no output schema, and low schema coverage. The description covers the default search path and follow-up reads but omits most action semantics and parameter meaning, so it is not complete enough for reliable invocation across all modes.

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 description coverage is only 27%, so the description needs to compensate. The example clarifies query and library, but it leaves fast, path, slug, project, version, and most action enum values unexplained, including the 14 action options.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description says this is for "Documentation operations" and clarifies that the default action performs a smart docs search with a fallback chain. That gives a usable sense of purpose, but it is broad for a 14-action tool and does not distinguish it from sibling search/documentation tools such as wiki, search_all, or search_package.

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?

It implies usage by describing the default fallback search and by recommending fetch(url) or devdocs_fetch_content after finding docs. However, it gives no explicit guidance on when to use docs instead of sibling tools or when to choose among its many non-default actions.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.