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get-company-info

Verified facts about Printing Labs: services, fulfillment regions, budget-tier collections, seasonal gifting hubs, machine-readable resources, and how to contact or request a corporate quote.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.1/5.0
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description must carry the behavioral disclosure burden. It implies the data is curated ('verified facts') but does not state whether the operation is read-only, how the data is returned, or any limitations. The description adds little beyond content categories, leaving safety and execution behavior opaque.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single sentence that front-loads the core purpose ('Verified facts about Printing Labs') and then lists covered topics efficiently. It is concise without excessive length, though the comma-separated list could be slightly overwhelming.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple no-parameter tool, the description gives a reasonable overview of content scope. However, it does not clarify the output format or structure (e.g., JSON fields, plain text) or any service-specific behavior. Since there is no output schema, describing the return value would improve completeness.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool has zero parameters, so the description need not explain input semantics. Per the baseline for no-parameter tools, a score of 4 is appropriate; there is no schema information to contradict.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly identifies the tool as providing verified facts about Printing Labs, enumerating specific content areas like services, fulfillment regions, and contact info. This distinguishes it from product-focused siblings like get-product-details and list-catalogs, though it lacks an explicit verb beyond the tool name.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description gives no explicit guidance on when to use this tool versus siblings. It merely lists content categories, leaving the agent to infer that this is for general company information. No exclusions or alternative tool mentions are provided.

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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