get_company_info
Public company identity, hours, service area and payment methods.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Public company identity, hours, service area and payment methods.
| 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=true, idempotentHint=true, destructiveHint=false, and openWorldHint=false, so the safety profile is fully covered. The description adds no behavioral context beyond that - no auth requirements, caching, or freshness details - so it earns little credit over the structured hints.
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 short sentence with no filler, front-loading the content categories. It is a fragment rather than a sentence, but nothing is wasted or buried.
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 is the only source of return-shape information, and 'identity' and 'hours' are too vague to tell an agent what fields come back. Acceptable for a trivial zero-parameter getter but not fully self-sufficient.
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, which is the baseline-4 case; there is nothing for the description to disambiguate. The enumerated content categories hint at the return shape, which is mild extra value.
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 phrase names a specific resource and enumerates the data categories returned (identity, hours, service area, payment methods), so an agent can guess the payload. However, it is a noun fragment with no verb and does not distinguish itself from the sibling get_service_area, which the description partially duplicates.
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?
There is no statement of when to call this tool, no exclusions, and no reference to alternatives such as get_service_area or get_pricing, which overlap with the listed content. Usage is only implied by the tool name.
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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