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infobro AI tools directory

Draft a listing from the website

prefill_from_url
Read-only

Reads the product’s website and returns a draft (name, tagline, description, images) to improve and pass to submit_tool.

Input Schema

NameRequiredDescriptionDefault
urlYesThe product’s website.
api_keyNoYour infobro API key, if it is not set as the Authorization header of this connection.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.2/5.0
Behavior4/5

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

Annotations already cover the safety profile (readOnlyHint=true, openWorldHint=true, destructiveHint=false), so the bar is lower. The description still adds value by disclosing that the operation produces a non-persisted draft rather than a live listing, and by naming the four fields returned — important since no output schema exists. It does not mention fetch failures or rate limits on external sites.

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?

A single sentence with no filler: the read action, the returned fields, and the downstream destination all come in one pass. Nothing is repeated from the title and no sentence is wasted.

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

Completeness4/5

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

With no output schema, the description correctly compensates by listing the four draft fields, and the two-parameter read tool is simple enough that little else is required. Only minor gaps remain, such as what happens when the site is unreachable or how large the draft is.

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 coverage is 100%, with 'url' documented as 'The product's website', so the description's reference to reading the website adds little beyond it. The api_key parameter is never mentioned in the description, though the schema covers it. Baseline 3 is appropriate when the schema carries the parameter documentation.

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?

States a specific verb and resource ('Reads the product's website') and enumerates the returned draft fields (name, tagline, description, images), then names the sibling it feeds into (submit_tool). An agent can distinguish this from submit_tool and update_tool without opening any schema.

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

Usage Guidelines4/5

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

The phrase 'to improve and pass to submit_tool' establishes the workflow position clearly: use this first to draft, then edit, then submit. It lacks an explicit when-not-to-use clause (e.g., no site available, or updating an existing listing via update_tool), which keeps it short of a 5.

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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