summarize_content
Generate a concise summary of a source page or section. Great for getting quick overviews.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| focus | No | Specific aspect to focus on | |
| source_url | Yes | URL to summarize |
Generate a concise summary of a source page or section. Great for getting quick overviews.
| Name | Required | Description | Default |
|---|---|---|---|
| focus | No | Specific aspect to focus on | |
| source_url | Yes | URL to summarize |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden of behavioral disclosure. It does not mention side effects, safety, errors, or prerequisites. While 'generate a summary' implies a non-mutating operation, it doesn't explicitly state read-only behavior or any limitations.
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 only two sentences with no filler, front-loading the key action and purpose. It earns its place efficiently without redundancy.
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?
With no annotations and no output schema, the description should provide more context about return format, limitations, or operational behavior. It only offers a high-level purpose, leaving gaps for a tool that still has two parameters and potential edge cases.
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 description coverage is 100% with both 'source_url' and 'focus' already described in the schema. The description adds no extra parameter-level meaning, so the baseline of 3 applies per the rating guidelines.
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 the action 'Generate a concise summary' and identifies the resource as 'a source page or section.' This is a specific verb+resource pairing that distinguishes it from sibling tools like search_docs or ask_question, which focus on different operations.
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 phrase 'Great for getting quick overviews' provides implied usage context, but the description lacks explicit guidance on when to use this tool versus alternatives or when not to use it. There are no exclusions or comparisons to sibling tools.
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.