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parse_url

Convert remote documents and non-HTML resources into clean text or Markdown for LLM processing.

Instructions

Parse a remote document or non-HTML resource into LLM-ready text/Markdown.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYes
max_charsNo
use_cacheNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

No annotations exist, so the description must disclose behaviors. It does not mention caching behavior, rate limits, supported document types, or what happens with HTML pages despite saying 'non-HTML resource'. The description is vague about the parsing mechanism.

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 a single sentence, which is concise, but it lacks structure and fails to provide important details. Every sentence should earn its place; here the single sentence is insufficient for the tool's complexity.

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?

The tool has three parameters, no annotation coverage, and an output schema not detailed. The description is too brief to be complete, omitting caching, character limits, and parsing scope. Given the complexity, more detail is needed.

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%, and the description adds no explanation for parameters. 'max_chars' and 'use_cache' are not described beyond their names, leaving the agent to guess their meaning and defaults.

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 a specific verb 'Parse' and specifies the resource types ('remote document or non-HTML resource') and output format ('LLM-ready text/Markdown'). It clearly distinguishes from sibling tools like 'search_web' or 'extract_links' which have different purposes.

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 is provided on when to use this tool versus alternatives such as 'extract_structured' or 'browser_interact'. There are no explicit conditions, prerequisites, or exclusions.

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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