scrapecreators_users_audience_demographics
User's Audience Demographics
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| handle | Yes | TikTok handle |
User's Audience Demographics
| Name | Required | Description | Default |
|---|---|---|---|
| handle | Yes | TikTok handle |
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries full responsibility for behavioral disclosure. It does not describe what data is returned, how it is computed, limitations, or any output format. The phrase 'Audience Demographics' is opaque.
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?
Under-specification is not conciseness. While the description is short, it omits essential information and thus fails to earn its place. A single vague phrase does not meet the standard of effective structure.
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?
Given the tool's name and single-parameter schema, the description still fails to clarify what 'audience demographics' includes (age, gender, location?) and what the output looks like. Without annotations or output schema, more detail is needed to be minimally complete.
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?
The only parameter 'handle' is fully described in the schema as 'TikTok handle', so schema coverage is 100%. The description adds no additional meaning beyond the schema, which meets the baseline of 3.
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 is a noun phrase that essentially restates the tool name ('User's Audience Demographics' vs. 'scrapecreators_users_audience_demographics'). It lacks a verb or resource specification, providing no clearer action or scope than the name itself.
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?
There is no guidance on when to use this tool versus alternatives like scrapecreators_age_and_gender or scrapecreators_followers. No context, prerequisites, or exclusions are mentioned.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.