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tap_list

Read-onlyIdempotent

Discover available browser automation taps. Search by query for substring match across sites or retrieve full schema for a site or specific tap.

Instructions

Discover available taps. Default (no args) returns a compact site-grouped summary for orientation. Pass {query:'...'} for substring search across site/name/description (ranked by relevance). Pass {site} for full schema (columns, args) of one site; {site, name} for a single tap. If a matching tap exists, use tap.run — it executes with zero AI, faster and more stable than manual tap operations. NEVER bypass a tap by using manual tap.* calls to replicate what a tap already does.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameNoOptional tap name. Requires site. Returns full schema for the single matching tap.
siteNoOptional site filter. When provided, returns full schema (columns, args) for matching taps.
queryNoSubstring search across site/name/description. Returns flat ranked results. Use this when you know WHAT you want but not the tap name (e.g. 'reddit comments', 'extract bounties').
Behavior4/5

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

Annotations already indicate readOnly, idempotent, non-destructive. Description adds behavioral context: default returns compact site-grouped summary, query returns flat ranked results, site/name returns full schema.

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?

Description is fairly concise given the complexity of three modes. Front-loaded with main purpose. Some redundancy in explaining when to use tap_run but overall efficient.

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?

Despite no output schema, the description covers return formats for each mode (compact summary, full schema columns/args, flat ranked). Includes examples and usage guidance, making it complete for an agent.

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%. Description adds meaning beyond schema for each parameter: name requires site, query is for substring search with ranking, site filters and returns 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?

The description clearly states the tool discovers available taps and explains three distinct modes (default summary, query search, site/name schema). It distinguishes itself from sibling tools like tap_run which executes taps.

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 advises when to use each argument pattern: default for orientation, query for search, site/name for schema. Also warns against bypassing with manual tap calls and recommends tap_run for existing taps.

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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