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Glama
adsagents

AdsAgent Skill Pack (docs)

Official

get_pack_readme

Return the skill-pack version and README identity excerpt to confirm what the pack is and is not, e.g., a Glama/Docker image is not the hosted AdsAgent ads backend.

Instructions

Return this skill-pack VERSION and a README.md identity excerpt.

Use this to confirm pack version and the public 'what this is / is not' wording, including that a Glama or Docker image of this repo is not the hosted AdsAgent ads backend.

The excerpt stops before the per-skill table. It does not include secrets.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.7.67

TDQS

A4.5/5.0
Behavior4/5

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

No annotations are present, so the description carries the full burden of behavioral disclosure. It usefully states what is returned (VERSION and README identity excerpt), what is excluded (per-skill table, secrets), and the identity nuance about the repo not being the hosted AdsAgent ads backend. It does not describe output format or error conditions, but for a zero-parameter read tool the disclosed boundaries are strong.

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 compact and front-loaded: the main action is stated in the first sentence, usage guidance follows, and boundary conditions are summarized in two short sentences. Every sentence earns its place without redundancy.

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

Completeness5/5

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

For a zero-parameter tool with no output schema and no annotations, the description fully covers what the agent needs: what the tool returns, its intended use, and its explicit exclusions. The nuance about the Glama/Docker image not being the hosted AdsAgent backend also prevents a plausible misunderstanding.

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 tool has 0 parameters, so parameter explanation is unnecessary. The description instead focuses on the meaningful output semantics, which is the right trade-off for an argument-less tool.

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 starts with a specific verb and resource: 'Return this skill-pack VERSION and a README.md identity excerpt.' This clearly distinguishes the tool from siblings like get_skill, get_hosted_mcp_urls, and list_skills by describing a unique output. The additional clarification about 'what this is / is not' wording further pins down its exact purpose.

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 explicitly says 'Use this to confirm pack version and the public wording,' giving a clear and direct usage context. It does not, however, name alternative sibling tools or state when not to use them, so it falls short of full exclusion guidance.

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