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abukreev-dev

keyso-mcp

by abukreev-dev

keyso_post_tools_unique

Extract unique words from any text to simplify SEO keyword analysis and content optimization.

Instructions

Выделение уникальных слов в тексте Method: POST Path: /tools/unique Пример запроса https://api.keys.so/tools/unique

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
bodyNoJSON body
tokenNoAPI token override (fallback: KEYSO_TOKEN env)
base_urlNoOverride API base URL

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

C2.8/5.0
Behavior2/5

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

No annotations are provided, so the description bears the full burden of behavioral disclosure. It only repeats the HTTP method and path and gives an example request URL; it does not state whether the operation mutates state, requires authentication, is synchronous, or what it returns.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The text is compact and front-loaded with the main purpose. However, it spends space repeating method/path information that is already inferable from the tool name and URL while omitting more useful payload or behavior details.

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?

For a POST tool with no annotations, no output schema, and a body parameter left as an open JSON object, the description is not complete enough for an agent to construct a correct request. It lacks input payload shape, authentication needs, and expected result information.

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?

All three parameters have some schema description, which gives the baseline of 3. However, the core 'body' parameter is only described as 'JSON body' with no properties, and the description adds no detail about what payload the unique-words extraction endpoint expects.

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 opens with 'Выделение уникальных слов в тексте' (extract unique words from text), which is a concrete operation and resource. It also gives the method and path, so an agent can tell what the tool does. It does not explicitly contrast it with related siblings like keyso_post_tools_delete_double, so it stops short of 5.

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 about when to use this tool versus related tools such as keyso_post_tools_delete_double or dictionary/keyword tools. The example URL is the only context provided, and it does not explain input requirements or selection criteria.

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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