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MonsiTools Calculators

Run a calculator

calculate
Read-only

Runs a MonsiTools calculator on the given inputs and returns the result. Works without a key for 10 calculations a day per IP address. A MonsiTools Premium API key, sent as 'Authorization: Bearer mt_live_...' when connecting, removes the daily limit.

Input Schema

NameRequiredDescriptionDefault
slugYesCalculator slug from search_calculators.
inputsYesInput name to number, for every input the calculator lists.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.7/5.0
Behavior4/5

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

With readOnlyHint=true and openWorldHint=false already declared, the description still adds genuinely useful operational context: a 10-calculations-per-day-per-IP anonymous limit and the exact Authorization header format for a Premium key. It does not explain error behavior or what the result object looks like.

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?

Three tight sentences with the core action front-loaded, followed by auth/limit details. Every sentence carries information; only the redundant restatement of 'returns the result' is marginal.

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?

For a read-only, nested-input tool with no output schema, the description covers action, cost/rate limits, and auth. The only gap is the shape of the returned result, which 'returns the result' leaves unspecified, though a calculator's output is largely predictable.

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%, so both parameters (slug, inputs) are already documented in the schema, including the nested number map. The description adds no parameter-level detail, which is the correct baseline when the schema does the heavy lifting.

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?

States a specific verb and resource ('Runs a MonsiTools calculator') plus the immediate effect ('returns the result'). This is clearly distinguishable from describe_calculator and search_calculators, which are discovery tools, though the description never names those siblings explicitly.

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?

Usage is implied rather than stated: an agent can infer it should call search_calculators first to obtain a slug, but only because the schema says so, not the description. There is no explicit when-to-use/when-not guidance or routing to alternatives.

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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