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list_taxonomy

Read-onlyIdempotent

Retrieve the list of accepted enum values for AI BVF taxonomy (industries, functions, AI tiers, readiness levels). Call this first to get valid inputs for other scoring tools.

Instructions

Return every accepted enum value for the AI BVF taxonomy: the full lists of industries, functions, ai_tier levels (gen1/gen2/gen3), and readiness levels. Call this first when unsure which exact strings score_initiative, score_portfolio, recommend_improvements, calculate_pace_layer_drag, get_benchmark, or diagnose_process will accept, so you pass valid values instead of guessing. Takes no parameters and has no side effects.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
ai_tiersYesAll accepted ai_tier values (gen1/gen2/gen3).
functionsYesAll accepted business-function values.
readinessYesAll accepted organisational-readiness values.
industriesYesAll accepted industry values.
bvf_versionYesAI BVF protocol version these enums belong to.
Behavior5/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false. Description adds 'Takes no parameters and has no side effects' reinforcing safety. No contradictions.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Single coherent paragraph, front-loaded with purpose, then usage and side effects. Efficient but could be slightly more structured (e.g., bullet points for enum categories)

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 no parameters and rich annotations, description fully explains what the tool returns, when to use it, and that it's safe. Complete for agent guidance.

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. Description adds value by explaining the output (full enum lists) and usage context, meeting baseline for zero-param tools.

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 'Return every accepted enum value for the AI BVF taxonomy' with specific items (industries, functions, ai_tier levels, readiness levels). Differentiates from siblings by naming the tools that accept these values.

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 says 'Call this first when unsure which exact strings ... will accept' and lists six sibling tools, providing clear when-to-use 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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