get_company_profileCompany profile of Cymosoft JSC (株式会社サイモソフト), an AI-first software development company in Hanoi, Vietnam serving international clients including the Japanese market.
| Name | Required | Description | Default |
|---|---|---|---|
| language | No | Response language (default: en) |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description disclaims the full burden. It only provides company background and does not disclose behavior such as return format, language effect, or whether it is a read-only operation.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
One concise sentence with no wasted words. It is front-loaded with the core purpose and includes relevant company context.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With no output schema, the description should explain what the agent will receive. It only describes the company, leaving the return value and behavior unspecified. The description is more of a company bio than a tool specification.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100% with a detailed enum for the language parameter. The description adds no extra meaning beyond the schema, so the baseline score of 3 is appropriate.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The title uses 'Get' and the description clearly identifies the resource (Cymosoft company profile). It is distinct from sibling tools (conversion and case study tools), though the description itself lacks an explicit verb.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Usage is implied by the tool name and context, but there is no explicit when-to-use guidance or mention of alternatives. Since siblings are clearly unrelated, the intended use is reasonably obvious.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Each tool has a clearly distinct purpose: two text conversions (fullwidth/halfwidth and Japanese era), one character counter, and three company-related info tools (list/get case studies, get company profile). No overlap or ambiguity between tools.
All tool names follow a consistent verb_noun pattern in snake_case: convert_*, count_*, list_*, get_*. The verbs are appropriate for each action, and the pattern is predictable across the set.
With 6 tools, the server is well-scoped for its niche purpose of Japanese text utilities and company information. Each tool earns its place without redundancy or unnecessary expansion.
The tool surface covers common Japanese text operations (conversion and counting) and provides read-only access to case studies and company profile. Minor gaps exist (e.g., no hiragana/katakana conversion or contact details), but core workflows are covered without dead ends.