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AdWhispr Ads MCP Server

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Track a brand

add_brand

Add a brand to begin monitoring its advertisements. Track competitor ad activity and discover active campaigns for research.

Instructions

Start tracking a brand so you can explore its ads.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A3.5/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=false, so the agent knows this mutates state; the description correctly reinforces that with 'start tracking.' It adds the reason for tracking but omits whether the operation is idempotent, what happens if the brand is already tracked, or whether it replaces an existing tracked brand.

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?

A single front-loaded sentence with no filler, and the purpose clause is placed after the action. It is arguably under-specified rather than verbose, but nothing in it is wasted.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no parameters, no output schema, and annotations covering only the write hint, the description carries the remaining burden. It does not explain persistence, the relationship to get_my_brand/clear_my_brand, or what state changes after the call, leaving gaps for a state-mutating tool.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

There are zero parameters, and schema coverage is reported at 100%, so there is no parameter semantics gap for the description to fill. The baseline for a zero-parameter tool applies.

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 states a specific verb and resource ('start tracking a brand') plus the downstream payoff ('explore its ads'), so the action is unambiguous. However, it does not distinguish itself from adjacent siblings such as save_my_brand or search_brands, leaving the agent to infer which one actually registers a tracked brand.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The clause 'so you can explore its ads' implies this is a prerequisite step before ad-exploration tools like get_brand_ads, which is useful implied usage. But there is no explicit when-to-use statement, no exclusion, and no named alternative versus save_my_brand or clear_my_brand.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.