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Recall Kitchen

list_api_keys

Read-onlyIdempotent

List this account's API keys (id, name, prefix, created). Secrets are not shown. Requires an API key.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
keysYes
limitsYes
messageNo

TDQS

A4.7/5.0
Behavior5/5

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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint false. The description adds valuable context beyond annotations by stating that secrets are not shown and that an API key is required. This tells the agent exactly what to expect and what prerequisites apply.

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?

Three short, information-dense sentences: the action and fields returned, the secret exclusion, and the auth requirement. No filler or redundant content; the most important details are front-loaded.

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?

With no parameters, an output schema present, and rich annotations, the description fully covers the tool's behavior, exclusions, and prerequisites. There is nothing an agent needs to know to invoke it correctly that is missing.

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 zero parameters, so the description needs to add no parameter-level detail. The baseline of 4 applies because there is nothing to document.

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?

States a specific verb ('List') and resource ('API keys'), scoped to 'this account's', and enumerates the returned fields (id, name, prefix, created). It is clearly distinguishable from sibling tools like create_api_key and revoke_api_key.

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?

Provides a clear context for when to use the tool: to list the current account's API keys. It also states a prerequisite ('Requires an API key'). However, it does not explicitly contrast with sibling tools or give when-not-to-use guidance, but none is strictly needed given the self-explanatory purpose.

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

A4/5.0
Disambiguation4/5

Most tools have clearly distinct roles, and the descriptions explicitly separate product lookup from recall search. However, the multiple recall search entry points (by query, UPC, image, and identifier) overlap enough that an agent could pick the wrong one without carefully reading the details.

Naming Consistency5/5

Tool names consistently follow a snake_case verb_noun pattern such as add_, list_, remove_, search_, get_, create_, revoke_, and mark_. The single-word signup is the only minor deviation, but it does not undermine the overall naming system.

Tool Count3/5

At 19 tools, the set is in the borderline-heavy range. The count is justified by the multiple subdomains like API key management, inventory, watch patterns, notifications, and recall searching, but it still feels slightly above the ideal well-scoped tool surface.

Completeness4/5

Core recall search, product lookup, inventory tracking, watch pattern management, notifications, and API key lifecycle are all covered well. Minor gaps exist such as no way to update a watch pattern or view account usage limits, but agents can generally work around them.

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