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union_find

Merge elements and query connectivity to manage disjoint sets. Check whether pairs are connected after unions.

Instructions

Perform union-find (disjoint set) operations: merge elements and query connectivity.

Input Schema

NameRequiredDescriptionDefault
unionsYesPairs to merge
queriesNoOptional pairs to check connectivity

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv0.1.11

TDQS

C2.9/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It states that unions are merged and connectivity is queried, but does not explain whether state persists across calls, whether union order matters, whether queries are answered against all previously applied unions, or what the response format is.

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 efficient sentence that front-loads the core operation. It contains no wasted words and is appropriately sized for a two-parameter tool.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no annotations and no output schema, the description should do more to explain behavior and return values. It omits what the connectivity queries return, whether unions and queries are processed in order, and whether the tool maintains state, leaving significant gaps for an agent to invoke correctly.

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 the schema already describes both parameters as 'Pairs to merge' and 'Optional pairs to check connectivity.' The description adds essentially the same information, so the baseline of 3 is appropriate.

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 names the specific algorithm and its two operations: 'union-find (disjoint set)' with 'merge elements and query connectivity.' This is clear and specific, but it does not explicitly differentiate the tool from other graph or algorithm siblings in the large 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?

There is no guidance on when to use this tool versus alternatives, no prerequisites, and no exclusions. The description only states what the tool does, leaving usage context entirely to inference.

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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