Company facts
get_company_infoFacts about 313 Automations: what it does, address, email, phone, founding year, and where its prices and pages are published.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
get_company_infoFacts about 313 Automations: what it does, address, email, phone, founding year, and where its prices and pages are published.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false, and openWorldHint=false, so the safety profile is covered structurally. The description adds only content scope (the field list), offering no information about return format, freshness, or behavior beyond the annotations, so it does not clear a higher bar.
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?
A single front-loaded sentence with no filler. Every clause contributes a distinct fact about scope, and the field enumeration is compacted efficiently into one list.
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 read-only tool with full annotation coverage and no output schema, the enumerated field list effectively communicates the return shape. Slightly short of complete because it does not say how the information is presented or whether all fields are always present.
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 takes zero parameters, so there are no semantics to explain; the baseline of 4 applies. The description appropriately spends its words on the returned content instead of inventing parameter guidance.
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 names a concrete resource (facts about 313 Automations) and enumerates the specific fields returned: what it does, address, email, phone, founding year, and where prices/pages are published. That makes it clearly distinct from siblings like get_page, get_prices, and search_site, though it never explicitly contrasts itself with them.
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 rather than stated — an agent infers this is the tool for company-level metadata. The phrase about 'where its prices and pages are published' faintly gestures at get_prices/list_pages as follow-ups, but there is no explicit when-to-use, when-not, or named alternative.
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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