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Casius999

decroche-mcp

by Casius999

negotiate_total_comp

Calculate annualized total compensation breakdown from base salary, variable bonus, signing bonus, and equity grants to evaluate job offers and support salary negotiations.

Instructions

Compute annualised total compensation breakdown.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
baseYesAnnual base salary.
variable_pctNoVariable as fraction of base (e.g. 0.15 = 15 %).
signingNoOne-time signing bonus (annualised over ``years``).
equity_totalNoTotal equity grant value (annualised over ``years``).
yearsNoVesting/amortisation period (default 4).
currencyNoCurrency code (default ``"EUR"``).EUR

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
baseYes
variableNo
signingNo
equity_annualizedNo
totalYes
currencyNoEUR
Behavior2/5

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

Without annotations, the description must disclose behavioral traits, but it only states a simple computation. It does not mention side effects, auth needs, rate limits, or input validation behavior, leaving the agent with minimal insight.

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 efficiently conveys the core purpose without wasted words. While very brief, it is appropriately sized for a simple tool.

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?

Given that an output schema exists (though not shown) and all parameters are described in the schema, the description is minimally adequate. However, it omits details about the output format, calculation methodology, or edge cases, leaving gaps for complex usage.

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

Parameters3/5

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

Schema coverage is 100%, and each parameter already has a clear description in the input schema. The tool description adds no additional meaning beyond what is already provided, so a baseline of 3 is appropriate.

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

Purpose5/5

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

The description clearly states the verb 'Compute' and the resource 'annualised total compensation breakdown', making the purpose specific and distinguishable from sibling tools like negotiate_benchmark_range or negotiate_counter_offer_template.

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?

No guidance is provided on when to use this tool versus alternatives, nor any context about prerequisites or exclusions. The description lacks explicit usage recommendations.

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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