The Daily Workflow — AI Tools & Free Alternatives

search_qa_cases

Read-onlyIdempotent

Search 147+ Q&A cases — curated solutions to real GitHub Issues with MCP servers and AI tools. Each case is structured as: problem (symptom) → cause → solution (markdown with code).

Use this FIRST when the user reports an error or unexpected behavior with an
MCP server. Many common errors (timeouts, ESM/require issues, Windows path
bugs, rate limits, connection failures) already have curated fixes.

Args:
    query: Free-text search over title, problem, error keywords, tools used.
           Example: "ReadTimeout", "ESM require", "windows path", "rate limit".
    server: Filter by related MCP server slug. Example: "fastapi-mcp",
            "github-mcp-server".
    category: troubleshooting | install | config | usage. Default: any.
    lang: en | ru. Default: en.
    limit: Max results (1-25, default 10).

Returns:
    Dict with `count` and `results`. Each result: slug, title, problem (preview),
    category, tools_used (list), error_keywords (list), related_server_slug,
    quality_score (0-10), helpful_count, page_url.

The `slug` opens a full case at https://thedailyworkflow.com/qa/<slug> with the
complete solution markdown.

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": "search_qa_cases"
  }
}

Input Schema

Name	Required	Description	Default
`lang`	No	Output language: "en" for English or "ru" for Russian. Default: "en".	en
`limit`	No	Maximum number of results to return (1-25; values outside the range are clamped). Default: 10.
`query`	No	Free-text search query matched against case title, problem text, error keywords and tools used. Example: "ReadTimeout", "ESM require", "windows path", "rate limit". Empty string returns unfiltered results.
`server`	No	Filter by the MCP server the case is about, given as its slug, e.g. "fastapi-mcp" or "github-mcp-server". Empty string means any server.
`category`	No	Filter by case category. One of: "troubleshooting", "install", "config", "usage". Empty string means any category.

Schema Changelog

Changes observed during successful MCP inspections.

First observedNov 3, 2026

TDQS

A4.2/5.0

Behavior4/5

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

Annotations already declare readOnly, idempotent, non-destructive and open-world, so safety is covered. The description adds real behavioral context beyond that: the corpus size (147+ cases), the case anatomy, and the key follow-up mechanic that a returned slug opens a full solution at an external URL — which matters for an open-world tool. It omits auth/rate-limit behavior, so not a 5.

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?

Front-loaded with purpose, then the priority rule, then Args and Returns in labeled blocks — easy to scan. Some duplication with the schema in the Args section costs it a point, but the Returns block earns its space since no output schema exists.

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

Completeness5/5

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

With no output schema, the description supplies the return shape (count, results, and each result's fields) plus the mechanism for retrieving the full solution via page_url/slug. Combined with the when-to-use rule and all five documented parameters, an agent has everything needed to call and interpret this tool.

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%, and the Args block largely restates the same field meanings and examples already present in the schema. The one genuinely additive note is that an empty string returns unfiltered results (implied but not stated in the schema for all fields), so this is baseline value rather than enrichment.

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?

States a specific verb and resource ("Search 147+ Q&A cases — curated solutions to real GitHub Issues") and immediately describes the internal structure of a case (problem → cause → solution). This is clearly distinguishable from siblings like search_mcp_servers or search_prompts, which target different resource types.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Gives explicit precedence guidance: "Use this FIRST when the user reports an error or unexpected behavior with an MCP server," plus a list of qualifying error classes (timeouts, ESM/require, Windows paths, rate limits). It does not name a sibling alternative or state when NOT to use it, which keeps it just below the top mark.

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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