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yessGlory17

JobVerify

check_github_org

Read-onlyIdempotent

Check a GitHub organization's age, repo count, and domain match to verify a tech company's legitimacy and detect potential scams.

Instructions

Verify a company's GitHub organization (no key): whether it exists, its age, repo count, and whether its website matches the company domain. A real tech company usually has a GitHub org linking back to its site; a scam rarely does.

Use when: the company claims to build software/tech.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
paramsYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint. The description adds that no key is needed, but does not disclose behavior on failure (e.g., org not found) or any rate limits. Adequate given annotation coverage.

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 compact with no wasted words. It front-loads the purpose and ends with a clear usage hint. Every sentence earns its place.

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?

The description covers the main functionality and usage context. An output schema exists, so return values are not needed. Missing details on edge cases (e.g., partial matches) but still sufficient for typical use.

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 description coverage is 0%, so the description must compensate. It mentions org_or_name implicitly and expected_domain via 'domain match', but does not describe response_format or clarify the input format for org_or_name. Partially compensates but leaves gaps.

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 verifies a GitHub organization's existence, age, repo count, and domain match. It distinguishes from sibling tools that check other entities like certificates, domains, or emails.

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 description provides a specific use case ('when the company claims to build software/tech'), which helps the agent decide when to invoke. It lacks explicit alternatives but context from sibling names implies its niche.

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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