get_company_profile
FEODE company profile: legal name, founding year (1985), HQ, Huizhou manufacturing/test base, areas served, contact.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
FEODE company profile: legal name, founding year (1985), HQ, Huizhou manufacturing/test base, areas served, contact.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description adds context beyond annotations by specifying the returned fields, but it does not disclose any potential staleness of data (e.g., founding year is fixed at 1985) or rate limits. Annotations already state readOnlyHint=true, so the description is adequate but not rich.
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?
The description is a single sentence that efficiently lists the contents of the profile. It is concise and front-loaded, though the list format could be slightly more structured.
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?
For a zero-parameter, no-output-schema read tool with annotations, the description adequately covers what the tool returns. It does not mention data freshness or update frequency, but given the tool's simplicity, it is sufficiently complete.
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?
The tool has no parameters, and the schema description coverage is 100%. The description does not need to add parameter information, and it correctly omits it. Baseline score of 4 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 description clearly states it retrieves the FEODE company profile and explicitly lists the data fields included (legal name, founding year, HQ, manufacturing base, areas served, contact). This differentiates it from sibling tools like get_certifications or get_product_specs.
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?
The description implies the tool is for getting company profile information, but it does not explicitly state when to use it versus alternatives (e.g., get_certifications for certifications). No guidance on prerequisites or exclusions.
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.
Tools are mostly distinct, but there is potential confusion between get_product_specs (product lines) and get_drill_pipe_specs (drill pipe items), as well as between list_drill_pipe and search_drill_pipe. However, descriptions clarify these differences.
All tool names follow a consistent verb_noun pattern in snake_case (get_, list_, search_, submit_), making it predictable for agents.
12 tools cover two main domains (FEODE company and drill string reference) without excess or deficiency, providing a well-scoped set.
The tool surface covers key operations for both domains: company info, product/service lifecycle, and drill string reference. Minor gaps like lack of company news or additional equipment categories, but core workflows are supported.