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Compare Edge Cases

compare_edge_cases

Runs your code snippets in multiple languages against edge-case inputs to detect where results diverge.

Instructions

Run the same logic in N languages on edge-case inputs and flag divergence.

Default inputs cover empty, zero, negative, and float-precision cases: ['', '0', '1', '-1', '10', '100', '0.1\n0.2']. Returns a per-input matrix plus a divergences list where languages disagree on identical input.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
inputsNoInputs to run every snippet on; omit for the default set covering empty/zero/negative/float cases
snippetsYesLanguage name -> code; provide one correct snippet per language, implementing the same logic

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changedv0.12.0
    • addedInput schema / properties / inputs / description
      Added value: +"Inputs to run every snippet on; omit for the default set covering empty/zero/negative/float cases"
    • addedInput schema / properties / snippets / description
      Added value: +"Language name -> code; provide one correct snippet per language, implementing the same logic"
  2. Changed1 schema field changedv0.11.0
    • changedOutput schema / (root)
      Previous value: -nullNew value: +{
      +  "additionalProperties": true,
      +  "title": "compare_edge_casesDictOutput",
      +  "type": "object"
      +}
  3. Changed5 schema fields changedv0.2.0
    • removedInput schema / additionalProperties
      Removed value: -false
    • addedInput schema / properties / inputs / title
      Added value: +"Inputs"
    • addedInput schema / properties / snippets / title
      Added value: +"Snippets"
    • addedInput schema / title
      Added value: +"compare_edge_casesArguments"
    • changedOutput schema / (root)
      Previous value: -{
      -  "additionalProperties": true,
      -  "type": "object"
      -}New value: +null
  4. First observedv0.1.0

TDQS

A3.8/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=false and openWorldHint=true. The description adds that it runs code and returns a per-input matrix plus divergences list, and specifies the default inputs. This provides some behavioral context, but it does not disclose potential side effects, permissions, or rate limits, so it partially covers the burden.

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?

Two sentences with no wasted words. The first sentence states the core purpose, and the second provides crucial details about inputs and output format. Information is front-loaded and efficiently structured.

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 presence of an output schema and the description's explanation of the return structure (matrix and divergences list), the description covers the essential usage. It does not mention limitations or prerequisites, but for a code-execution tool with 2 parameters, it is sufficiently complete.

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?

Schema description coverage is 100%, so the schema defines both parameters. The description adds the explicit default input list (['', '0', '1', '-1', '10', '100', '0.1\n0.2']), which is concrete and helpful, going beyond the schema's summary.

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 'Run the same logic in N languages on edge-case inputs and flag divergence,' which is a specific verb, resource, and outcome. It clearly differentiates its focus on edge-case inputs and divergence detection from other comparison tools in the sibling list.

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?

No mention of when to use this tool versus alternatives. It does not provide any 'use this when...' or 'instead of...' guidance, leaving the agent to infer its applicability from the description alone.

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