query_source
Query a specific source URL for targeted information. Fetches and extracts content matching your question.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| question | Yes | What to find | |
| source_url | Yes | URL to query |
Query a specific source URL for targeted information. Fetches and extracts content matching your question.
| Name | Required | Description | Default |
|---|---|---|---|
| question | Yes | What to find | |
| source_url | Yes | URL to query |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the burden. It discloses that the tool fetches a URL and extracts content matching the question, which implies a read-only operation. However, it does not mention limitations (e.g., URL type, content format, potential failures) or explicitly confirm no side effects, though these are not critical for a simple query tool.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is two short, purposeful sentences that immediately convey the tool's purpose and mechanism. No wasted words or redundant phrasing.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's simplicity (2 parameters, no output schema, no nested objects), the description adequately covers the operation. It explains the input purpose and the action taken. Minor gaps like response format or constraints are not critical for such a straightforward tool.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100%, meaning both parameters are already described in the schema. The description adds no new semantic detail beyond what the schema provides, so it meets the baseline but does not exceed it.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states a specific verb ('Query') and resource ('a specific source URL'), with a scoped outcome ('for targeted information'). It distinguishes itself from sibling tools like search_docs or ask_question by focusing on a particular URL rather than a general search.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies when to use it—when you have a specific source URL and a targeted question—but does not explicitly mention alternatives or exclusion cases. There is no stated 'use this instead of X' guidance, so usage context is only implicit.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
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.
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.
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.
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.