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gowinston-ai

winston-ai-mcp

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by gowinston-ai

Text Compare

text-compare
Read-only

Compare two texts and receive a similarity score. Supports texts up to 120,000 characters.

Instructions

Compares two texts and returns the similarity score. Cost: 0.5 credit per total words found in both texts.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
first_textYesThe first text to compare. Maximum 120,000 characters.
second_textYesThe second text to compare against the first text. Maximum 120,000 characters.
Behavior4/5

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

Annotations indicate readOnlyHint=true and openWorldHint=true. The description adds behavioral context beyond annotations by explaining the cost model and that the tool computes a similarity score, which is consistent with read-only behavior. No contradiction.

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 extremely concise with two sentences, no wasted words. Purpose is front-loaded in the first sentence, followed by cost information in the second.

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 simple 2-parameter tool with complete schema and annotations, the description covers purpose and cost. A minor gap is the lack of explanation about the similarity score range or scale, but it is not critical for use.

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%, with both parameters having clear descriptions in the schema. The tool description does not add additional semantic value beyond what the schema already provides.

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 clearly states the tool's verb ('Compares'), resource ('two texts'), and outcome ('returns the similarity score'). It distinguishes from sibling tools (detection-focused) by focusing on text comparison.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description includes a cost guideline ('Cost: 0.5 credit per total words'), which helps with usage decisions. However, it does not explicitly state when to use this tool over alternatives or when not to use it.

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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