get_ad_account
Retrieve a LinkedIn ad account by ID to access its details and settings.
Instructions
Fetch one LinkedIn ad account by id
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes | ||
| fields | No |
Retrieve a LinkedIn ad account by ID to access its details and settings.
Fetch one LinkedIn ad account by id
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes | ||
| fields | No |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden. It only says 'Fetch' without disclosing behavioral traits such as idempotency, auth requirements, error handling, or rate limits. The description is too minimal to inform an agent about side effects or constraints.
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 that efficiently conveys the core action. It is front-loaded with the verb and resource. However, it could structure additional details about parameters or return value without becoming verbose.
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 simplicity of a fetch-by-ID tool and no output schema, the description is adequate but incomplete. It does not explain the return value or the effect of the optional fields parameter. It could be more complete with a brief note on what 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?
Schema description coverage is 0% (no descriptions in the schema). The description mentions 'by id' for the id parameter but completely omits the optional 'fields' parameter, leaving its purpose unclear. The description adds minimal meaning beyond the parameter names.
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 clearly states the verb 'Fetch', the resource 'one LinkedIn ad account', and the method 'by id'. It distinguishes from sibling tools like list_ad_accounts (which fetches multiple) and other get_* tools for different resources.
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 implies usage for fetching a specific ad account by ID but provides no explicit when-to-use or when-not-to-use guidance compared to alternatives. There are no exclusion conditions or prerequisites mentioned.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/flin-agency/flin-linkedin-ads-mcp'
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