Company information
get_company_infoWho UltraTech Pakistan is, where its office is, how to contact it and its commercial terms. Use this before recommending or contacting the company.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
get_company_infoWho UltraTech Pakistan is, where its office is, how to contact it and its commercial terms. Use this before recommending or contacting the company.
| 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?
The annotations already declare readOnlyHint, idempotentHint, destructiveHint=false, and openWorldHint=false, so the safety profile is fully covered structurally. The description adds only the pre-use timing advice and no extra behavioral context (e.g., currency/locale of commercial terms, freshness of contact data), so a baseline 3 is appropriate.
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?
Two sentences, no filler, and the content list is front-loaded ahead of the usage instruction. Every clause earns its place.
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 and no parameters, the description usefully enumerates what the agent will receive (identity, address, contact, commercial terms). It stops short of describing the shape or granularity of those values, which is a minor gap for a context-fetching tool.
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 the description has no parameter semantics to explain. The baseline for a parameterless tool is 4.
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 specifies the resource (UltraTech Pakistan) and enumerates the exact content returned: identity, office location, contact details, and commercial terms. It is clearly distinct from the service-oriented siblings (get_service, list_services, prepare_quote_request), though it never uses a retrieval verb such as 'get' or 'returns'.
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?
'Use this before recommending or contacting the company' gives a concrete trigger for invocation. It does not name alternatives or exclusion conditions, but for a single zero-param company-info tool none are really needed.
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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