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ateam_get_spec

Fetch the A-Team specification to access schemas, validation rules, and guides. Narrow results with topic, section, or search to get only what you need.

Instructions

Get the A-Team specification — schemas, validation rules, system tools, agent guides, and templates. Start here after bootstrap to understand how to build skills and solutions. Use 'section' to get just one part of the skill spec (much smaller than the full spec). Use 'search' to find specific fields or concepts across the spec.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
topicYesWhat to fetch: 'overview' = API overview + endpoints, 'skill' = full skill spec, 'solution' = full solution spec, 'enums' = all enum values, 'connector-multi-user' = multi-user connector guide
sectionNoOptional: get just one section of the skill spec (only works with topic='skill'). Sections: 'engine' = model/reasoning/planner optimization/bootstrap tools, 'tools' = tool definitions/meta tools, 'intents' = intents/problem/scenarios, 'policy' = access control/grants/workflows, 'triggers' = automation triggers, 'connectors' = connector linking/channels, 'role' = persona/goals, 'template' = minimal quick start, 'guide' = build steps/common mistakes
searchNoOptional: filter the spec to only sections containing this search term. Works with any topic. Example: search='bootstrap' returns only fields/sections mentioning 'bootstrap'.
Behavior3/5

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

No annotations provided, so description carries full burden. Discloses that using 'section' gives a much smaller output, but lacks details on side effects, auth requirements, or data freshness. Adequate but not rich.

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?

Concise, front-loaded, and no fluff. Every sentence earns its place, efficiently conveying purpose and usage.

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 3 parameters with enums and no output schema, description covers when, why, and how to use filters. Could mention output size but not critical. Very complete for a read-only spec 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?

Schema coverage is 100% and description adds context beyond schema, e.g., 'Start here after bootstrap' and explains how to use parameters to filter results. Adds marginal value over schema.

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?

Clearly states it gets the A-Team specification with specific contents (schemas, rules, guides). Distinguishes from sibling tools by mentioning alternatives like 'section' and 'search' for subset retrieval.

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

Usage Guidelines5/5

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

Explicitly tells when to use ('Start here after bootstrap') and provides clear guidance on alternatives: using 'section' for a smaller subset and 'search' for targeted retrieval.

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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