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Collect Corpus

collect_corpus

Crawl a sitemap to extract clean text from articles and build a corpus for voice analysis.

Instructions

Crawl sitemap and collect clean writing corpus from published articles

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sitemap_urlYesURL to XML sitemap (e.g., https://example.com/post-sitemap.xml)
output_nameYesCorpus identifier/name (e.g., "richard-baxter")
output_dirYesDirectory to store corpus files (e.g., "C:/dev/corpus")
max_articlesNoMaximum articles to process (default: 100)
article_patternNoOptional regex to filter URLs
Behavior2/5

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

No annotations are provided, so the description carries full burden. It does not disclose behavioral traits like whether crawling respects robots.txt, rate limits, authentication needs, or what 'clean' means. Users cannot infer side effects or constraints.

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?

The description is a single sentence that is front-loaded with the core action. It is concise, though it could be slightly expanded for clarity without sacrificing conciseness.

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 the tool has 5 parameters, no output schema, and no annotations, the description is too brief. It does not explain return values, error handling, processing details, or corpus structure, leaving significant gaps for an AI agent.

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%, so the baseline is 3. The description adds a high-level purpose but no additional detail beyond what the schema already provides for each parameter. It does not compensate for missing nuance.

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?

The description uses specific verbs ('crawl sitemap', 'collect clean writing corpus') and clearly identifies the resource and action. It distinguishes from sibling tools: 'analyze_corpus' suggests analysis, 'generate_voice_skill' suggests voice generation, so this tool's unique role of data collection is clear.

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 (e.g., analyze_corpus or generate_voice_skill). No context on prerequisites, limitations, or when not to use it is given.

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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