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inspect_stack · AAS - Agentic Awesome Skills

aasagenticawesomeskills__inspect_stack
Read-onlyIdempotent

Validate an agent-selected in-memory AAS stack, its pinned catalog identity, and every selected skill ID without writing it.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
manifestYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed6 schema fields changed
    • addedInput schema / additionalProperties
      Added value: +false
    • addedInput schema / properties / manifest / additionalProperties
      Added value: +false
    • addedInput schema / properties / manifest / properties / catalog / additionalProperties
      Added value: +false
    • addedInput schema / properties / manifest / properties / profile / additionalProperties
      Added value: +false
    • addedInput schema / properties / manifest / properties / skills / items / additionalProperties
      Added value: +false
    • addedInput schema / properties / manifest / properties / targets / items / additionalProperties
      Added value: +false
  2. First observed

TDQS

A4.1/5.0
Behavior4/5

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

Annotations already establish readOnly, idempotent, and non-destructive behavior. The description adds useful context beyond those: the operation is in-memory only, and the validation scope covers catalog identity plus every selected skill ID. No contradiction with annotations.

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?

A single front-loaded sentence that conveys purpose, scope, and side-effect absence with zero wasted words. Every phrase earns its place.

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?

The description is adequate for a non-mutating validation tool, and the rich schema plus annotations cover much of the needed context. However, there is no output schema and the description does not mention what the tool returns on success or failure, such as a validation report or error list, which would help an agent interpret the result.

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 0%, but the single 'manifest' parameter is deeply structured in the schema itself. The description helps by clarifying that the manifest represents an in-memory AAS stack with a pinned catalog identity and skill IDs, but it does not fully compensate for the schema's lack of descriptions, especially around the profile and targets fields.

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 uses a specific verb ('Validate') and identifies the exact resource: an agent-selected in-memory AAS stack, its pinned catalog identity, and all selected skill IDs. It also adds a discriminator ('without writing it') that separates it from mutation-oriented sibling tools like compose_stack.

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 gives a clear usage context: validating an agent-selected stack before anything is written. It does not explicitly name alternative tools or list when-not-to-use conditions, so it stops short of a full 5.

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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