list_accounts
List all ad accounts, with optional filtering by team ID, to access paid media campaign data.
Instructions
List all ad accounts, optionally filtered by team.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| team_id | No |
List all ad accounts, with optional filtering by team ID, to access paid media campaign data.
List all ad accounts, optionally filtered by team.
| Name | Required | Description | Default |
|---|---|---|---|
| team_id | No |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description must carry the full burden. It only states the action ('list') without disclosing behavioral traits like read-only nature, pagination, rate limits, or any side effects. Minimal transparency.
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?
The description is a single sentence with no wasted words. It is front-loaded with the primary action and includes the optional filter concisely. Every part 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 (one optional param, no output schema), the description is adequate but not complete. It lacks information about return fields, pagination, or any limits. For a list tool, the agent would benefit from knowing what data is 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 schema has one optional parameter (team_id) with 0% coverage. The description adds 'optionally filtered by team,' clarifying the parameter's purpose beyond the schema's type-only definition. It could be more specific (e.g., format or examples), but it adds meaningful semantic context.
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?
Description clearly states 'List all ad accounts, optionally filtered by team.' It specifies the verb (list), the resource (ad accounts), and the optional filter. This is specific and distinguishes from sibling tools like list_teams and get_account.
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?
No guidance on when to use this tool versus alternatives. It does not mention when not to use it, prerequisites, or comparisons to siblings. The agent is left without context for selection.
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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curl -X GET 'https://glama.ai/api/mcp/v1/servers/kenlim5656/paid-media-mcp'
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