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generate_organization_schema

Generate JSON-LD schema markup for organizations to improve search engine understanding and enable rich content display.

Instructions

Generate an Organization JSON-LD schema for companies, non-profits, or other organizations.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlNoOfficial website URL
logoNoLogo image URL
nameYesOrganization name
sameAsNoArray of social profile URLs
founderNoFounder name
descriptionNoBrief description of the organization
foundingDateNoFounding date (YYYY-MM-DD)
Behavior2/5

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

No annotations are provided, so the description must carry the full burden. It only states the purpose without disclosing any behavioral traits such as validation, side effects, or output format.

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, clear sentence that front-loads the purpose without any extraneous content.

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?

With 7 parameters, no output schema, and no annotations, the description is minimal. It adequately states the tool's function but lacks detail on output format or usage context.

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%, so all 7 parameters are described in the input schema. The description adds no additional meaning beyond the schema, meeting the baseline for high coverage.

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 the verb 'Generate', the resource 'Organization JSON-LD schema', and the target audience 'companies, non-profits, or other organizations'. It distinguishes from sibling tools like 'generate_person_schema' and 'generate_product_schema'.

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?

The description provides no guidance on when to use this tool versus alternatives, nor any prerequisites or exclusions. The sibling tool list is external but not referenced in the description.

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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