Skip to main content
Glama

get_daily_spend

Read-only

Retrieve daily advertising spend data across connected ad accounts to monitor campaign budgets and performance trends.

Instructions

Get daily spend breakdown across all connected ad accounts.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
daysNoNumber of days to look back (default: 7)
platformNoFilter by platform (optional)
Behavior3/5

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

Annotations declare readOnlyHint=true, indicating a safe read operation. The description adds context about scope ('across all connected ad accounts') and the breakdown nature, which is useful beyond annotations. However, it doesn't disclose behavioral details like rate limits, authentication needs, or return format, keeping it at a baseline informative level.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, efficient sentence that directly states the tool's purpose without unnecessary words. It's front-loaded with the core action and resource, making it easy to parse and understand quickly.

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?

Given the tool's moderate complexity (2 parameters, read-only operation), the description covers the basic purpose but lacks output details (no output schema) and usage context. With annotations providing safety info, it's adequate but incomplete for optimal agent understanding, especially without sibling differentiation.

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

Parameters3/5

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

Schema description coverage is 100%, with clear documentation for both parameters in the input schema. The description doesn't add any parameter-specific details beyond what the schema provides, such as explaining the 'days' parameter's impact or 'platform' filtering implications. This meets the baseline for high schema coverage.

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 clearly states the action ('Get') and resource ('daily spend breakdown across all connected ad accounts'), providing a specific verb+resource combination. However, it doesn't explicitly differentiate from sibling tools like 'get_performance' or 'list_campaigns', which might also involve spending data, so it misses full sibling differentiation.

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

Usage Guidelines2/5

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

The description provides no guidance on when to use this tool versus alternatives. It doesn't mention prerequisites, timing, or compare to siblings like 'get_performance' that might overlap in functionality. This leaves the agent with minimal context for tool selection.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/Synter-Media-AI/synter-mcp-server'

If you have feedback or need assistance with the MCP directory API, please join our Discord server