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get_quickstart

Extract setup instructions, quickstart guides, and getting-started content from sources.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
topicNoSpecific topic
source_urlNoSource URL

TDQS

B3.4/5.0
Behavior2/5

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

No annotations are provided, so the description must fully disclose behavior. It only states 'extract from sources' without explaining how extraction happens, what the output looks like, whether network calls are made, or any constraints. This leaves significant behavioral ambiguity.

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, concise sentence that front-loads the action and resource. No wasted words or redundant details.

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?

Given two optional parameters and no output schema, the description leaves critical gaps: what does 'sources' mean, is source_url expected, and what happens if no parameters are provided? The tool lacks enough context to be fully understood in isolation.

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% with 'Specific topic' and 'Source URL', so the baseline is 3. The description adds context that the content is quickstart-related, but does not elaborate on parameter formats or required relationships between topic and source_url.

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?

Description uses specific verb 'Extract' and identifies the resource as 'setup instructions, quickstart guides, and getting-started content', clearly distinguishing this tool from sibling tools like get_code_examples or search_docs. The purpose is unambiguous and actionable.

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 description implies usage when quickstart/setup content is needed, but it gives no explicit when-to-use or when-not-to-use guidance, and does not mention alternatives. This is adequate but lacks explicit decision support.

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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TDQS

A3.8/5.0
Disambiguation3/5

Several tools overlap in purpose: ask_question and search_docs both return relevant passages across connected sources, and search_issues partially duplicates that for known bugs. The more specialized tools are distinct, but an agent could easily pick search_docs instead of ask_question and still get similar results.

Naming Consistency5/5

All 8 tool names follow a consistent lower_snake_case verb_noun pattern with descriptive verbs like ask, extract, get, query, search, and summarize. There is no mixing of naming conventions, abbreviated verbs, or ambiguity in the naming style.

Tool Count5/5

8 tools is well within the ideal 3-15 range for a documentation-focused MCP server. Each tool covers a plausible distinct workflow: asking, searching, summarizing, extracting schemas, code examples, quickstarts, and known issues, so none feels unnecessary.

Completeness4/5

The tool surface covers the core read-oriented documentation workflow well: search, ask, summarize, targeted source queries, schema extraction, code examples, quickstarts, and issue lookup. Minor gaps exist such as no way to list connected sources or retrieve a full raw page, but agents can work around these using query_source and search_docs.

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