API Tool Calls

Logarithm Calculator

logarithm

Read-onlyIdempotent

Compute a logarithm for a positive value and any positive base other than 1.

Example tool call

This call uses example arguments supplied in the tool’s input schema.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "base": 10,
      "value": 100
    },
    "name": "logarithm"
  }
}

Input Schema

Name	Required	Description	Default
`base`	Yes	Positive logarithm base other than 1.
`value`	Yes	Value.

Output Schema

Name	Required	Description	Default
No arguments

Schema Changelog

Changes observed during successful MCP inspections.

AddedOct 5, 2026

TDQS

B3.4/5.0

Behavior3/5

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

Annotations already cover read-only, idempotent, non-destructive, and closed-world behavior. The description adds domain constraints (value positive, base positive and not 1), but these largely duplicate the schema; no edge-case behavior or output format is described beyond what structured fields provide.

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 a single front-loaded sentence with no wasted words. It is appropriately sized for a simple deterministic math operation.

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 simple operation, rich schema with example, complete annotations, and an output schema, the description is nearly complete. It correctly omits return-value details because the output schema exists, though it could have added brief routing guidance for sibling calculator tools.

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%, and both parameters are already documented in the input schema. The description restates the base constraint and adds that the value must be positive, but this adds only marginal meaning beyond the schema.

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 states a specific verb and resource: 'Compute a logarithm.' It also specifies valid input domains, but does not distinguish this tool from siblings such as power, scientific_evaluate, or simplify_sqrt.

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 explicit when-to-use guidance, no alternatives named, and no conditions under which another tool should be preferred. The implied use is clear from the tool name alone, but the description adds no routing context.

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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