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get_readability_scores

Calculate readability scores for text from direct input, web URLs, or GCS PDFs, using Flesch Reading Ease and grade level metrics.

Instructions

Calculates readability scores for text from direct input, a web URL, or a GCS PDF URI.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
textNo
web_urlNo
gcs_pdf_uriNo
Behavior2/5

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

With no annotations, the description must convey all behavioral traits. It mentions calculation and input sources but does not disclose whether it fetches remote content, any safety profile, or output format—leaving significant behavioral aspects unspecified.

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

Conciseness5/5

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 and source options. No redundant words.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The tool has no annotations and no output schema, yet the description does not specify which readability formulas are used, the return structure, or input validation rules. This is a notable gap, though the basic functionality is clear.

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?

The schema provides no descriptions; the description adds context by naming the three source types, which maps to the text, web_url, and gcs_pdf_uri parameters. However, it does not clarify mutual exclusivity or format requirements, so the added value is limited.

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 'Calculates' and identifies the resource as 'readability scores', with clear input sources (text, web URL, GCS PDF URI). This clearly differentiates the tool's function.

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

Usage Guidelines3/5

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

The description implies the tool is for calculating readability when given one of the three source types, but it does not explicitly state when to prefer this tool over alternatives, nor does it mention any exclusions or prerequisites.

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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