Skip to main content
Glama
kenlim5656

paid-media-mcp

by kenlim5656

get_pending_approvals

Retrieve proposed media actions awaiting human approval, including action details, target platform, rationale, estimated impact, and budget. Review and approve before expiration to ensure execution.

Instructions

Get media actions proposed by the Operator agent that are awaiting human approval. Each approval includes: what action is proposed, which platform entity is affected, the rationale from attribution data, estimated impact, and budget at stake. Review these before they expire — the Operator agent will not execute them until approved.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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 implies a read-only action by describing retrieval, and warns that approvals expire. However, it does not explicitly state whether the tool modifies state or other safety aspects.

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?

Two sentences, well-structured with the purpose first. No extraneous words; every sentence adds value.

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

Completeness4/5

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

Given no output schema or annotations, the description is fairly complete. It explains what is returned and a time constraint. Missing details like ordering or state effects, but acceptable for a zero-parameter retrieval tool.

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

Parameters4/5

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

The input schema has 0 parameters, so schema coverage is 100%. The description adds meaning by explaining the content of each approval (action, affected entity, rationale, impact, budget), which compensates for the lack of parameters.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool gets 'media actions proposed by the Operator agent that are awaiting human approval' and details what each approval includes (action, affected entity, rationale, impact, budget). This distinguishes it from sibling tools like 'get_tag_management' or 'list_teams'.

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

Usage Guidelines4/5

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

The description mentions to review approvals before they expire and that the Operator agent will not execute until approved, implying when to use. However, it does not explicitly specify when not to use this tool or provide alternatives.

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/kenlim5656/paid-media-mcp'

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