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summarize_article_section

Read-onlyIdempotent

Get a summary of a specific section from a Wikipedia article by providing the article title and section name.

Instructions

Get a summary of a specific section of a Wikipedia article.

Returns a dictionary containing the section summary or an error.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
titleYes
section_titleYes
max_lengthNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
titleYes
section_titleYes
summaryYes

Implementation Reference

  • The tool handler function that executes the 'summarize_article_section' logic. It receives title, section_title, and max_length, logs the call, and delegates to wikipedia_client.summarize_section().
    def summarize_article_section(
        title: str,
        section_title: str,
        max_length: Annotated[int, Field(title="Max Length")] = 150,
    ):
        """
        Get a summary of a specific section of a Wikipedia article.
    
        Returns a dictionary containing the section summary or an error.
        """
        logger.info("Tool: Getting summary for section: %s in article: %s", section_title, title)
        summary = wikipedia_client.summarize_section(title, section_title, max_length=max_length)
        return {"title": title, "section_title": section_title, "summary": summary}
  • The SectionSummaryResponse Pydantic model defining the output schema (title, section_title, summary).
    class SectionSummaryResponse(MCPBaseModel):
        title: str
        section_title: str
        summary: str
  • The register_tool decorator that wires the handler to FastMCP server.tool() under both the original name and 'wikipedia_' prefix.
    def register_tool(name: str, output_schema: dict[str, Any]):
        def decorator(func):
            server.tool(
                func,
                name=name,
                annotations=_READ_ONLY_TOOL_ANNOTATIONS,
                output_schema=output_schema,
            )
            server.tool(
                func,
                name=f"wikipedia_{name}",
                annotations=_READ_ONLY_TOOL_ANNOTATIONS,
                output_schema=output_schema,
            )
            return func
    
        return decorator
  • The @register_tool decorator line that registers 'summarize_article_section' with the SectionSummaryResponse output schema.
    @register_tool("summarize_article_section", model_output_schema(SectionSummaryResponse))
  • The WikipediaClient.summarize_section() helper that fetches the page, finds the target section recursively, and returns a truncated summary.
    def summarize_section(self, title: str, section_title: str, max_length: int = 150) -> str:
        """
        Get a summary of a specific section of a Wikipedia article.
    
        Args:
            title: The title of the Wikipedia article.
            section_title: The title of the section to summarize.
            max_length: The maximum length of the summary.
    
        Returns:
            A summary of the specified section.
        """
        try:
            page = self.wiki.page(title)
            if not page.exists():
                return f"No Wikipedia article found for '{title}'."
    
            target_section = None
    
            # Helper function to find the section
            def find_section_recursive(sections_list, target_title):
                for sec in sections_list:
                    if sec.title.lower() == target_title.lower():
                        return sec
                    # Check subsections
                    found_in_subsection = find_section_recursive(sec.sections, target_title)
                    if found_in_subsection:
                        return found_in_subsection
                return None
    
            target_section = find_section_recursive(page.sections, section_title)
    
            if not target_section or not target_section.text:
                return f"Section '{section_title}' not found or is empty in article '{title}'."
    
            summary = target_section.text[:max_length]
            return summary + "..." if len(target_section.text) > max_length else summary
    
        except Exception as e:
            logger.error(f"Error summarizing section '{section_title}' for article '{title}': {e}")
            return f"Error summarizing section '{section_title}': {str(e)}"
Behavior2/5

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

Annotations already indicate readOnlyHint=true, destructiveHint=false, idempotentHint=true, and openWorldHint=true. The description adds only that the tool returns a dictionary or error, which is minimal. It does not disclose potential failure modes (e.g., missing sections), performance characteristics, or dependency on network calls. Given annotations, the description adds little value beyond the structured fields.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is very short (two sentences) and front-loaded with the core purpose. However, the brevity sacrifices important details like parameter semantics and behavioral notes. It is concise but incomplete, earning a middle score.

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?

Despite having an output schema and clear annotations, the description omits crucial context: it does not mention the output structure, the effect of 'max_length', or how the tool differs from siblings. For a tool with 3 parameters and a specific use case, the description is significantly incomplete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema has 3 parameters with 0% description coverage (no schema-level descriptions). The tool description does not explain any parameter meaning. 'title' and 'section_title' are intuitive from the tool name, but 'max_length' (with default 150) is not explained at all. The description fails to compensate for the lack of schema descriptions.

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

Purpose4/5

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

The description clearly states the tool's action ('Get a summary') and resource ('specific section of a Wikipedia article'). However, it does not differentiate from sibling tools like 'get_summary' (which likely summarizes the whole article) or 'summarize_article_for_query'. The purpose is clear but lacks context for distinguishing among related tools.

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

Usage Guidelines2/5

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

The description provides no guidance on when to use this tool versus alternatives. It does not mention prerequisites, expected usage patterns, or cases where this tool should be preferred over siblings such as 'get_summary' or 'extract_key_facts'.

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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