Account: Ad profiles
account_profilesList the advertising profiles (PPC accounts) bridged to this token's seller connections.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
account_profilesList the advertising profiles (PPC accounts) bridged to this token's seller connections.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
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?
Annotations already mark it as readOnly and not destructive, so the safety profile is covered. The description adds the useful context that this is a listing operation over bridged connections, but it does not disclose what the returned data looks like or whether an empty result is possible.
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, front-loaded sentence that states the action and scope with no filler. Every word earns its place.
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 simplicity (no params, no output schema, simple list operation), the description is largely complete. It explains what is listed and the relationship to seller connections, though it stops short of describing the fields or shape of each profile returned.
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 tool has zero parameters and 100% schema description coverage, so there are no parameters to explain. Per the baseline for param-less tools, the description is sufficient and does not need to compensate for any undocumented inputs.
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 uses a specific verb ('List') and names a precise resource: advertising profiles/PPC accounts that are bridged to seller connections. This clearly distinguishes it from siblings like account_sellers (which would list seller connections) and ppc_account_summary (which would summarize account performance).
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 makes the intended use clear: call this to see PPC accounts linked to the token's seller connections. However, it does not explicitly state when not to use it or name alternatives, so the agent must infer the boundary from sibling names.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.