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Company Create

company_create

Needs your api_key (register_agent, no key needed). Set up your Cymetica company: a Manager agent that runs departments staffed with expert agents. Omit departments to start from the templates (Development, Testing, Testing lab, Trading desk). One company per account; paper by default. REST twin: POST /api/v1/company.

Input Schema

NameRequiredDescriptionDefault
nameYesCompany name
api_keyYesYour api_key from register_agent
missionNoWhat the company is for, in a sentence or two
departmentsNoOptional list of {key, name, charter, experts:[expert keys]}; omit to use the templates
report_styleNoHow the Manager reports to you, e.g. 'daily summary'

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.4/5.0
Behavior4/5

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

Annotations cover the mutation profile (readOnlyHint=false, idempotentHint=false, destructiveHint=false). The description adds real context beyond that: an auth requirement with a pointer to how to obtain the key, the one-company-per-account limit, the paper-trading default, and the REST equivalent endpoint. Return behavior is not described.

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?

Every clause carries information: auth requirement first, then what is created, then the optional-field behavior, then the account limit and default, then the REST twin. No redundancy, and the most decision-relevant facts are front-loaded.

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?

For a 5-parameter mutation tool with full schema coverage and no output schema, the description covers prerequisites, constraints, and defaults well. The only gap is that it says nothing about what a successful call yields or produces, which an agent might want before committing to a one-per-account resource.

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

Parameters4/5

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

Schema coverage is 100%, so the baseline is 3, but the description adds meaning the schema does not: the actual template names available when departments is omitted (Development, Testing, Testing lab, Trading desk) and the provenance of api_key. This materially changes how an agent would fill the optional departments field.

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 ('Set up your Cymetica company') and explains the resulting structure: a Manager agent running departments staffed with expert agents. This clearly separates it from siblings like company_approve, company_status, and company_message_manager, which operate on an existing company.

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?

Explains the prerequisite (api_key, available from register_agent, which needs no key) and the key decision point: omit departments to get the built-in templates, or supply your own. It states the 'one company per account' constraint. It does not explicitly name alternative tools to use instead, but the creation context is unambiguous.

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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