get_tracked_keywords
Keyword table for one tracked app: popularity, difficulty, position, and the day-over-day change.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| appId | Yes |
Keyword table for one tracked app: popularity, difficulty, position, and the day-over-day change.
| Name | Required | Description | Default |
|---|---|---|---|
| appId | Yes |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations the description carries the full burden, and it does disclose the returned metrics (popularity, difficulty, position, day-over-day change). However it says nothing about ordering, row limits, or behavior for untracked apps, so the disclosure is only partial.
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 compact sentence that front-loads the resource and appends the payload. It earns its place, though being a sentence fragment it is terse to the point of under-specification.
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 with no output schema and no annotations, the description gives a reasonable sketch of returned fields but omits error conditions, ordering, and completeness of the keyword set, leaving the agent to guess.
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 appId parameter. The description partially compensates by implying the id must refer to a tracked app, but adds no format or lookup detail beyond that.
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?
The description names a specific resource (keyword table) and scope (one tracked app), plus the metrics returned. It is distinguishable from get_keyword_history and list_tracked_apps by content, though it never explicitly contrasts itself with them.
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?
Only the phrase 'one tracked app' hints at a precondition; there is no explicit when-to-use, no statement of what happens for an untracked app, and no routing to alternatives like get_keyword_history or add_tracked_keywords.
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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