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Function Plotter

calculator_function_plot
Read-only

Plot a mathematical function over [x_min, x_max].

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "function": "<function>",
      "x_min": "<x_min>",
      "x_max": "<x_max>"
    },
    "name": "calculator_function_plot"
  }
}

Input Schema

NameRequiredDescriptionDefault
x_maxYesMaximum x.
x_minYesMinimum x.
functionYesExpression in the variable.
variableNoVariable name.x
num_pointsNoSample count.

Output Schema

NameRequiredDescriptionDefault
pointsNo
expressionYes
valid_pointsNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.9/5.0
Behavior2/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false, and openWorldHint=false, so safety is covered. The description adds no behavioral context of its own — nothing about how sampling works (num_points default 200), what happens with invalid expressions, or how the plot is returned. It essentially duplicates the title's information.

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?

A single tight sentence with the range constraint front-loaded and no filler. It is efficient, though arguably under-specified rather than concise for a tool with a free-form expression parameter.

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?

An output schema exists, so return values need not be explained, and annotations plus full schema coverage carry the safety and parameter burden. Still, for a plotting tool the description should hint at supported expression syntax or sampling trade-offs; that is the one real gap.

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 the baseline of 3 applies. The description references the x_min/x_max range but adds no syntax detail for the 'function' expression, which is the most error-prone parameter and is only illustrated by a single example ('sin(x)').

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 ('Plot a mathematical function') plus the domain restriction ('over [x_min, x_max]'), which is more than a restatement of the name. It does not, however, distinguish itself from near-neighbours such as calculator_equation_graph, which an agent could reasonably confuse it with.

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?

There is no indication of when to choose this over calculator_equation_graph, calculator_derivative, or calculator_critical_points, nor any prerequisites. The only guidance is implied by the word 'plot'.

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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