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agentspan-ai

MCP Test Server

by agentspan-ai

conversion_decimal_to_binary

Convert a decimal integer into its binary string representation without the '0b' prefix for display, logging, or bit-level analysis.

Instructions

Convert a decimal integer to its binary string representation (without '0b' prefix).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
valueYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.4

TDQS

A4/5.0
Behavior3/5

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

No annotations are provided, so the description carries the full behavioral burden. It does disclose a genuine behavioral detail the schema does not: the output omits the '0b' prefix. However it is silent on edge behavior such as negative integers, zero, or very large values, which is the kind of thing that would raise this score.

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?

A single sentence with no filler, front-loading the action, the input, and the output format. Nothing could be removed without losing information.

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?

An output schema exists, so return-value semantics need not be explained here. Combined with the explicit 'no 0b prefix' note and the stated input type, the definition is nearly sufficient for calling the tool correctly; only edge-case behavior is missing.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Only one parameter exists and the schema gives it zero description coverage, so the description must compensate. Saying the input is a 'decimal integer' does pin down the expected type and base, and the required/typed schema leaves little ambiguity. It stops short of documenting range limits or how negatives are treated.

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?

States a specific verb (Convert) plus the exact source and target types (decimal integer to binary string), which self-differentiates it from the other conversion_* siblings such as rgb_to_hex or km_to_miles. The output format is nailed down as well, so the agent knows precisely what the tool produces.

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?

Use is strongly implied by the purpose - there is really only one reason to call a decimal-to-binary converter - but the description gives no explicit when-to-use, no prerequisites, and names no alternatives. For a primitive one-argument function this implied guidance is adequate, not exemplary.

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