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fetch_url_content

Fetch and extract clean text content from a public URL. Returns: {title, text, url, word_count}

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYes
max_charsNo

TDQS

C2.4/5.0
Behavior2/5

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

With no annotations, the description must disclose behavioral traits. It mentions the return format but does not discuss errors, rate limits, authentication, or whether the content is cached. Minimal detail beyond the basic operation.

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 short (two sentences) and front-loaded with purpose. However, it omits necessary parameter details, so conciseness comes at the cost of completeness.

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?

For a tool with 2 parameters and no output schema, the description should at least cover parameter behavior. It fails to describe max_chars, leaving a significant gap. Incomplete despite simplicity.

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?

Schema description coverage is 0%, so the description must explain parameters. It mentions the URL implicitly but does not describe max_chars at all. No added meaning beyond the schema's field names and types.

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 verb 'fetch and extract' and the resource 'clean text content from a public URL'. It distinguishes the tool's output type (clean text) but does not explicitly differentiate from the sibling tool 'extract_article'.

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?

No guidance on when to use this tool versus its siblings (e.g., extract_article, get_page_links). No context about prerequisites or appropriate scenarios.

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

B3.4/5.0
Disambiguation5/5

Each tool targets a distinct aspect: article extraction, general text, links, metadata, and health check. No overlap in functionality.

Naming Consistency5/5

All tool names follow a consistent verb_noun pattern in snake_case (extract_article, fetch_url_content, get_page_links, get_page_metadata). health_check is a common exception but fits the naming style.

Tool Count5/5

Five tools is an appropriate scope for a web content extraction server, covering all essential operations without being excessive.

Completeness4/5

The toolset covers the main read operations for web content (article, text, links, metadata). Missing features like screenshot or HTML download are minor for the stated purpose.