Skip to main content
Glama
adbutler

AdButler MCP Server

Official
by adbutler

vast_update_schedule

Update an existing VAST schedule by changing dates, geotargeting, quotas, day parting, and delivery method to align with current advertising requirements.

Instructions

Update an existing VAST schedule

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesVAST schedule ID
end_dateNoEnd date (YYYY-MM-DD HH:MM:SS), null for indefinite
geo_targetNoGeotarget ID (0 = no targeting)
quota_typeNoQuota measurement type
start_dateNoStart date (YYYY-MM-DD HH:MM:SS)
day_parting_idNoDay parting ID for time-of-day targeting
quota_lifetimeNoTotal quota amount (views or clicks, not per thousand)
delivery_methodNoDelivery pacing: "default" (ASAP) or "smooth" (evenly distributed)
Behavior2/5

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

With no annotations, the description must disclose behavioral traits, but it only says 'update' without explaining partial vs full replacement, required permissions, idempotency, or response behavior. This is insufficient for a mutation operation.

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?

Single concise sentence, easy to parse, no wasted words. However, it is somewhat sparse, bordering on under-specification, but it's a complete sentence with clear subject and verb.

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?

With 8 parameters, a mutation operation, no annotations, and no output schema, the description provides minimal context. It doesn't explain what happens to omitted fields, what the response contains, or any prerequisites, making it incomplete.

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 covers 100% of parameters with descriptions, so baseline is 3. The tool description adds no parameter information, but the schema already provides full semantics, so no penalty.

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 ('Update') and the resource ('existing VAST schedule'), distinguishing it from create/delete operations. However, it adds little beyond the tool name and doesn't elaborate on scope or effects.

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 on when to use this tool versus alternatives like vast_create_schedule or vast_delete_schedule. The word 'existing' implies it applies to pre-existing schedules, but there is no explicit context or exclusions.

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/adbutler/mcp-server'

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