List Ranklybee lead keywords
list_lead_keywordsList the monitoring keywords (search phrases and platforms) for a Project.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| projectId | Yes |
list_lead_keywordsList the monitoring keywords (search phrases and platforms) for a Project.
| Name | Required | Description | Default |
|---|---|---|---|
| projectId | Yes |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare this a safe, non-destructive, non-open-world read, so the safety profile is covered. The description adds content-level context — that the listed items are search phrases and platforms tied to a Project — but says nothing about pagination, ordering, or result volume.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
A single sentence with the resource front-loaded and no filler; the parenthetical clarifying what a 'keyword' contains earns its place rather than padding.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a one-parameter read tool whose annotations cover the safety profile, the description is nearly sufficient; it conveys scope and result content. The only gap is that with no output schema, it does not hint at the shape or count of returned keywords.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0% for the single projectId parameter, so the description carries the burden. It implies projectId denotes a Project but never states whether an ID or name is expected or what format it takes, leaving the parameter only partially clarified.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
States a specific verb ('List') and resource ('monitoring keywords (search phrases and platforms)') scoped to a Project, which clearly distinguishes it from list_articles, list_leads, and similar siblings. It does not, however, explicitly disambiguate from the adjacent list_outreach_keywords / list_article_keywords tools, so it falls short of a 5.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description gives no when-to-use context, no prerequisites, and never names an alternative or exclusion. An agent must infer usage purely from the name and resource noun.
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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