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adbutler

AdButler MCP Server

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by adbutler

get_display_platform_estimate

Retrieve estimated statistics for display platforms in your AdButler account, applying date preset and timezone to filter results.

Instructions

Get display platform estimate statistics

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
presetNoDate preset
timezoneNoTimezone
Behavior2/5

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

With no annotations, the description carries the full burden of disclosing behavior. 'Get' implies a read-only operation, but it does not explicitly state whether this is a safe, non-mutating call, what data is returned, or whether any authentication or rate limits apply. No additional behavioral context beyond the action itself is provided.

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?

The description is a single, grammatically correct sentence with no redundant words. It is front-loaded with the verb and object, making it easy to scan. However, it is arguably too terse given the vague nature of 'estimate statistics', but it remains appropriately concise in structure.

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

Completeness2/5

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

This is a read-style reporting tool with no output schema, so the description must explain what information is returned. It fails to mention the type of statistics, how preset/timezone affect results, or any filtering behavior. Given the large API surface and the existence of similar forecasting tools, this description leaves significant gaps.

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?

The input schema already provides descriptions for both parameters (preset and timezone), covering 100% of the schema. The description adds no extra meaning beyond this, so the baseline of 3 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 uses a specific verb ('Get') and a specific resource ('display platform estimate statistics'), which clearly indicates the tool retrieves statistics for display platform estimates. It distinguishes from sibling tools like get_vast_platform_estimate via the 'display' qualifier, but the phrase 'estimate statistics' is somewhat vague about what exactly is measured.

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?

No guidance is provided on when to use this tool versus alternatives such as get_display_forecast or get_vast_platform_estimate. The description does not mention any prerequisites, parameter combinations, or scenarios where this tool is preferred, leaving the agent to infer usage from the name alone.

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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