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List phrases

list_phrases
Read-onlyIdempotent

List translation phrases for a MultiLocale project. Optionally filter by language or key. Returns a bounded Markdown and structured preview of id, key, language, and value.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
keyNoFilter by exact phrase key
projectYesProject name (slug) to list phrases for
languageNoFilter by language code (e.g. en, it, es)

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
statusYes
phrasesYes
phraseCountYes
phrasesTruncatedYes

TDQS

A4.1/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint, so the safety profile is covered. The description adds useful behavioral context by noting the response is a bounded Markdown and structured preview with specific fields, going beyond what annotations alone provide.

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 concise and well-structured: it leads with the action and resource, notes optional filters, and closes with the return format. Every sentence earns its place with no extra fluff.

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?

For a simple list operation with only three documented parameters, a required project field, and an output schema, the description is complete enough for an agent to invoke the tool correctly. It covers purpose, filters, and response shape without over-explaining.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so each parameter is already documented in the schema. The description only adds that filtering by language or key is optional, which is mild semantic value beyond the schema, so a baseline of 3 is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool lists translation phrases for a MultiLocale project using a specific verb and resource, and it notes optional filters and the returned fields. However, it does not explicitly differentiate this from the sibling search_phrases or get_phrase tools, so it falls just short of full purpose differentiation.

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?

The description provides clear context: use this tool to list phrases in a project, with optional filtering by language or key. It does not explicitly state when to choose this over search_phrases or get_phrase, and it does not mention exclusions, but the listing and filtering intent is clear enough for basic routing.

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

A3.9/5.0
Disambiguation3/5

Most tools have distinct purposes, but several overlap: get_project and show_project_overview both fetch a project by id/name, and list_phrases, search_phrases, and export_locale_dictionary all return phrase collections in similar ways. Descriptions help clarify edge cases, but an agent could plausibly select the wrong tool in several scenarios.

Naming Consistency5/5

All tool names follow a consistent snake_case verb_noun pattern: add_, delete_, get_, list_, search_, find_, update_, export_, share_, show_. Minor differences like get_project vs show_project_overview do not break the overall naming convention.

Tool Count4/5

17 tools is slightly above the ideal range but still reasonable for a localization server covering projects, locales, phrases, translation searches, sharing, and team roster. Each tool represents a real operation, even if a few could be consolidated.

Completeness4/5

The surface covers core project and phrase lifecycles well: create/read/update for projects and phrases, delete for phrases, locale updates, translation generation, search/export, and missing-translation analysis. Minor gaps exist, such as no delete_project, no explicit unshare_phrase operation, and no dedicated remove_locale tool.

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