Skip to main content
Glama
tresor4k

macalc

calculate_inflation_adjusted_value

Compute the real (inflation-adjusted) value of a future euro amount to understand its purchasing power in today's terms. Use for retirement planning or savings goals.

Instructions

Compute real (inflation-adjusted) purchasing power of a future amount. Use for retirement or savings goal in today's euros. Inputs: nominal future amount, years, average inflation %. Returns real value. See list_bundles for related 'finance-universal' calculators.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
amountYesAmount in EUR
yearsYesNumber of years
inflation_rateYesAnnual inflation rate percent

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultNoComputed result. Object whose fields depend on the tool (e.g. {tax, marginal_rate, brackets} for tax tools, {volume_l, gallons} for volume tools).
formulaNoHuman-readable formula or method used (e.g. "I=P·r·t", "Magnus formula").
sourceNoAuthoritative source for the rule or formula (e.g. "Article 197 CGI", "NF DTU 21").
reference_urlNoLink to a calcul2 page documenting the calculation in detail.
Behavior2/5

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

No annotations are provided, so the description must carry the full burden of behavioral disclosure. It mentions 'Returns real value' but does not disclose whether the computation has side effects, requires authentication, or is a pure function. This is a significant gap for a tool with no annotations.

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 three sentences, each serving a distinct purpose: stating the computation, giving usage context, and listing inputs/output. It is concise and front-loaded with the primary purpose, earning a high score for structure without being overly verbose.

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

Completeness4/5

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

Given the simplicity of the tool (3 required parameters, pure calculation, output schema exists), the description adequately covers purpose, usage, and inputs. It does not need to detail return values due to the output schema, making it complete for this level of complexity.

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 description coverage is 100% (all three parameters have descriptions). The description repeats the parameter names and unit ('Amount in EUR', 'Number of years', 'Annual inflation rate percent') but adds little new meaning beyond what the schema already provides. Baseline 3 is appropriate.

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 states the verb 'Compute' and the resource 'real (inflation-adjusted) purchasing power', making the tool's purpose specific. It mentions usage for retirement or savings goals in euros, but does not explicitly differentiate from very similar siblings like 'calculate_inflation_adjustment' or 'calculate_present_value'.

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

Usage Guidelines3/5

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

The description provides usage context ('Use for retirement or savings goal in today's euros') and references related calculators in 'list_bundles', but fails to specify when not to use this tool or offer clear alternatives among the many sibling tools.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/tresor4k/macalc-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server