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List agent capabilities

list_agent_capabilities
Read-onlyIdempotent

Discover available POML capabilities with their names, paths, and summaries to run them via run_poml_capability, avoiding guesswork about file paths.

Instructions

List the predefined POML capabilities shipped with Bagel: each entry has a name, a path to pass to run_poml_capability, and a one-line summary. Use this to discover available capabilities instead of guessing file paths.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Install Server

TDQS

A4.7/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the description doesn't need to repeat safety. However, it adds behavioral context by explaining the tool's role in discovery ('instead of guessing file paths') and provides details about output structure, which complements the annotations. No contradictions found.

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 two sentences long, front-loaded with the core purpose, and every clause serves a purpose: it states the subject (predefined POML capabilities), the output fields, the connection to `run_poml_capability`, and the concrete use case. Zero waste.

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 that the tool takes no parameters, has a rich output schema (implied), and has strong annotations, the description is complete. It covers discovery, output structure, and usage guidance, making it fully self-sufficient for an agent to know when and how to use it.

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 no parameters, and the schema description coverage is 100% (trivially). The description adds value by stating that each entry contains `name`, `path`, and `summary`, which prepares the agent for the output without needing to inspect the output schema. This is more than a baseline, justifying a score above 3.

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 clearly states the tool lists predefined POML capabilities, with specific details about output fields (`name`, `path`, `summary`). It distinguishes itself from sibling `list_pipeline_capabilities` by explicitly focusing on POML capabilities and mentions `run_poml_capability` as a related tool, making its purpose unmistakable.

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?

The description includes explicit guidance on when to use the tool: 'Use this to discover available capabilities instead of guessing file paths.' This tells the agent the intended use case, and the mention of `run_poml_capability` hints at a follow-up action, providing clear context for when to invoke this tool versus alternatives.

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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