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longest_common_prefix

Finds the longest shared starting substring across an array of strings, enabling comparison and grouping of inputs by common prefix.

Instructions

Find the longest common prefix among an array of strings.

Input Schema

NameRequiredDescriptionDefault
stringsYesArray of strings (max 10,000)

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv0.1.11

TDQS

B3.2/5.0
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 behavioral burden, and it discloses nothing beyond the operation name. It does not say what is returned when there is no common prefix (empty string), whether matching is case-sensitive, or how an empty/single-element array is handled — all real edge cases for this operation.

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 front-loaded sentence with zero filler; every word earns its place for a tool of this simplicity.

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?

For a one-parameter pure function whose input is fully documented in the schema, the description is nearly sufficient. The only meaningful gap is the return value semantics (no output schema exists, and the description never states that a string is returned, empty when there is no shared prefix).

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 coverage is 100% and the single parameter 'strings' is already documented in the schema, including the 10,000-element cap. The description adds no syntax, ordering, or edge-case meaning beyond what the schema provides, so the baseline 3 applies.

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 ('Find') and resource ('longest common prefix among an array of strings'), so an agent knows exactly what the tool computes. It does not, however, distinguish itself from adjacent string algorithms in the sibling list such as string_lcs or longest_increasing_subsequence.

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 statement of when to use this tool versus alternatives, nor any prerequisites or exclusions. For a pure algorithm tool the need is modest, but the description offers no routing guidance at all.

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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