hire_vs_outsource_calculatorHire vs Outsource Calculator — Compare the fully loaded cost of an in-house hire against outsourcing to an agency or freelancer, with a break-even hours line showing when hiring wins.
| Name | Required | Description | Default |
|---|---|---|---|
| annualSalary | Yes | ||
| benefitsRate | Yes | ||
| overheadAnnual | Yes | ||
| recruitingCost | Yes | ||
| employerTaxRate | Yes | ||
| agencyHourlyRate | Yes | ||
| expectedTenureYears | Yes | ||
| hoursNeededPerMonth | Yes | ||
| managementOverheadPct | Yes |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description alone must disclose behavioral traits. It states the tool computes a comparison and shows a break-even line, which is helpful. However, it does not explicitly state whether it is read-only, what output format (chart, numbers, etc.) is produced, or any other side effects. For a calculator, this is adequate but not fully transparent.
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, front-loaded with the tool's purpose, and contains no filler or redundant details. Every word contributes to understanding the core function and key output. It is concise and well-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?
Given 9 required parameters, no output schema, and no annotations, the description is incomplete. It does not specify what inputs are needed, how the break-even line is calculated, or what the full output contains. The description only provides a high-level overview, leaving significant gaps for a tool of this complexity.
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?
Schema coverage is 0%, and the description does not list or explain any of the 9 required parameters. It only intuits that 'fully loaded cost' includes salary, benefits, and agency rate, but it does not explicitly describe any input meaning. The description fails to compensate for the low schema coverage, leaving users to infer parameter semantics from parameter names alone.
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 uses a specific verb ('Compare') and clearly defines the resource (fully loaded cost of in-house hire vs outsourcing) and a distinctive output (break-even hours line). It distinguishes the tool from siblings like contractor_vs_employee_calculator by focusing on agency/freelancer outsourcing and a break-even metric.
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 when to use this tool: when comparing in-house hiring against outsourcing to an agency or freelancer. It provides clear context but does not explicitly mention alternatives or exclusion criteria, such as when to use employee_cost_calculator instead. The context is sufficient for basic guidance.
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.
Many calculators occupy overlapping conceptual spaces, such as 'ai_roi_calculator' vs 'ai_automation_payback_calculator' and 'llm_self_host_vs_api_calculator' vs 'ai_build_vs_buy_calculator'. The boundaries between debt payoff, savings goal, and drawdown tools are also fuzzy, making it easy for an agent to select the wrong tool despite detailed descriptions.
Every tool follows the same <topic>_calculator pattern with lowercase snake_case, making the naming highly predictable and consistent. Even acronyms and numbers fit the pattern, so there is no mixing of conventions.
122 tools is an extreme number for a single MCP server, far exceeding the 50+ threshold for a severe mismatch. The tools span unrelated domains like AI costs, pet food, concrete, pizza dough, and turkey cooking, creating an unfocused kitchen-sink surface that overwhelms an agent's selection process.
The set covers many common calculator categories such as finance, construction, health, and AI costs, but several staple calculators are missing (e.g., BMI, tip, discount, simple interest, currency conversion). The AI cost cluster is over-saturated while other everyday calculations are absent, leaving minor but noticeable gaps.