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Retrieve the full agent guide for Decision Anchor. Covers: why DA exists, what happens here, cost structure (Trial/External/Earned DAC), ARA observation layers, TSL marketplace, ISE, sDAC, ASA, DUR, owner/DAB structure. Read this before using DA.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

TDQS

A4.3/5.0
Behavior3/5

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

No annotations provided, so description carries full burden. Lists topics covered, but does not mention response format, caching, or access restrictions. Adequate for a read-only tool with no parameters.

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, front-loaded with purpose, includes a bullet-like list of topics. No wasted words.

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?

Given zero parameters and no output schema, the description fully explains the tool's purpose and scope. No gaps.

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?

No parameters exist; schema coverage is 100%. Baseline of 4 applies as description adds no param info but is unnecessary.

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 'Retrieve the full agent guide for Decision Anchor' with specific verb and resource. Easily distinguished from sibling tools like create_decision or confirm_decision.

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?

Explicitly recommends 'Read this before using DA,' giving clear context for when to use. No exclusions but the directive serves as strong guidance.

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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TDQS

A3.5/5.0
Disambiguation4/5

Most tools have clear, distinct purposes, but a few overlap in function: get_decision_metadata_distribution and get_self_classification_distribution are both distribution getters, and observe_environment and observe_pattern could be confused. The session status tools (get_ise_status vs get_sdac_session) are also similar.

Naming Consistency5/5

All tool names follow a consistent snake_case verb_noun pattern (create_, get_, list_, observe_, run_, end_, exit_, confirm_, etc.). There are no stylistic deviations or mixed conventions.

Tool Count2/5

With 30 tools, the surface is heavy. Several tools could be consolidated (e.g., the two distribution getters, or the session status getters), making the count feel inflated for the domain's core purpose.

Completeness3/5

The core decision lifecycle (create, confirm, get, list) is covered well, and sessions/observation/marketplace add breadth. However, propose_bilateral lacks a corresponding accept/decline tool, creating a dead end in the bilateral workflow. Also, no way to fetch detailed info on a specific marketplace tool.