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yessGlory17

JobVerify

fetch_archived_page

Read-onlyIdempotent

Retrieve archived text of a LinkedIn profile or company page from the Internet Archive to evaluate recruiter or company details without live access.

Instructions

Fetch the archived TEXT of a page from the Internet Archive (no key). This is the legal way to read a LinkedIn profile/company page — it reads the web.archive.org snapshot, NOT LinkedIn live. Returns the extracted text plus the snapshot date so you can evaluate the recruiter's headline/company or a company page's about text.

Use when: you have a LinkedIn (or company) URL and want to evaluate its content.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
paramsYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

Annotations already indicate readOnlyHint, openWorldHint, idempotentHint, and destructiveHint=false. The description adds that it reads web.archive.org snapshots (not live) and is the legal way, plus returns snapshot date. No contradictions.

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 concise and front-loaded, with two sentences covering action and usage. No unnecessary words.

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?

Given the tool's simplicity and presence of an output schema, the description adequately covers return value (extracted text and snapshot date) and usage context. Could mention response_format options but not required.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, meaning the description does not add meaning to parameters. While the schema itself has parameter descriptions, the tool description does not explain them, and with low coverage, compensation is required but not provided.

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 clearly states it fetches archived text from the Internet Archive for LinkedIn profiles/company pages, distinguishing from live LinkedIn and specifying the legal method.

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?

It explicitly says to use when you have a LinkedIn/company URL and want to evaluate content, providing clear context. However, it does not specify when not to use or offer alternatives.

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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