MaCalculatriceEnLigne

calculate_number_base_convert

Convert a number between bases 2 (binary), 8 (octal), 10 (decimal), and 16 (hex). Use for programming. Inputs: value, from-base, to-base. Returns converted number. See list_bundles for related 'conversions' calculators.

Input Schema

TableJSON Schema

Name	Required	Description
`value`	Yes	Number to convert as string
`to_base`	Yes	Target base
`from_base`	Yes	Source base

Output Schema

TableJSON Schema

Name	Required	Description
`result`	No	Computed result. Object whose fields depend on the tool (e.g. {tax, marginal_rate, brackets} for tax tools, {volume_l, gallons} for volume tools).
`source`	No	Authoritative source for the rule or formula (e.g. "Article 197 CGI", "NF DTU 21").
`formula`	No	Human-readable formula or method used (e.g. "I=P·r·t", "Magnus formula").
`reference_url`	No	Link to a calcul2 page documenting the calculation in detail.

Schema Changelog

Changes observed during successful MCP inspections.

First observedJul 13, 2026

TDQS

A4/5.0

Behavior3/5

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

No annotations are present, so the description must cover behavioral traits. The description implies a straightforward conversion with no side effects. It does not mention any limitations or edge cases, but for a conversion tool, basic behavior is adequately conveyed.

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

Conciseness5/5

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

The description is two sentences, efficiently conveying purpose, usage, and related tools. Every sentence provides value with no redundancy.

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?

The tool has an output schema (indicated by context), so return values are covered there. The description adds usage context and a reference to related tools. For a simple conversion tool, this is complete enough, though it could include examples of input format.

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%, so the schema fully documents parameters. The description merely restates 'value, from-base, to-base' without adding new semantics or context beyond the schema.

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 explicitly states the tool converts numbers between bases 2, 8, 10, and 16, with a specific verb and resource. It distinguishes from sibling tools like 'calculate_base_converter' by specifying the supported bases and programming context.

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

Usage Guidelines4/5

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

The description suggests using the tool 'for programming', providing clear usage context. It also directs users to 'list_bundles' for related calculators, hinting at alternatives, though it does not explicitly state when not to use.

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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