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maasy_discover_keywords

Discover relevant keywords for your brand using AI. Provide a seed topic and project ID to get keyword clusters, search volume estimates, and difficulty scores.

Instructions

AI keyword discovery: clusters, volume estimates, difficulty scores.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
project_idNoBrand UUID
seed_topicNoFocus topic
Behavior2/5

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

With no annotations, the description carries full burden for behavioral disclosure. It indicates the output includes clusters and scores but does not mention whether the operation is read-only, requires authentication, or any side effects. This is insufficient for full transparency.

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

Conciseness4/5

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

The description is a single sentence with no wasted words. It conveys the core purpose clearly. However, it could include slightly more detail without becoming verbose.

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?

Given the lack of output schema and annotations, the description is too brief to be fully contextually complete. It does not explain the structure of the returned data (e.g., format of clusters, volume units) or any usage constraints.

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 each parameter has a clear description. The tool description adds no additional meaning beyond what the schema already provides, so baseline score of 3 is appropriate.

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 discovers keywords and provides clusters, volume estimates, and difficulty scores. It uses the specific verb 'discover' and resource 'keywords', and since no sibling tool has a similar function, it is well-distinguished.

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 explicit guidance on when to use this tool versus alternatives. The description implies keyword discovery context, but does not mention when not to use it or provide comparisons to sibling tools like maasy_get_seo_status.

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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