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Crowdin MCP by usefulapi

List projects

crowdin_list_projects
Read-only

List projects the token can access (id, name, sourceLanguageId, targetLanguageIds). Good first call to discover project ids. Crowdin API: GET /projects.

Input Schema

NameRequiredDescriptionDefault
limitNoMax rows (max 500, default 25).
offsetNoRows to skip (default 0).
groupIdNoFilter by group id (Enterprise).
hasManagerAccessNo1 = only projects where you are a manager.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / $schema
      Previous value: -"http://json-schema.org/draft-07/schema#"New value: +"https://json-schema.org/draft/2020-12/schema"
  2. First observed

TDQS

A4/5.0
Behavior3/5

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

The readOnlyHint annotation already certifies this as a safe read, so the bar is lower. The description adds real value by disclosing the access-scoping rule ('the token can access') and the underlying endpoint (GET /projects), but says nothing about pagination behavior or whether the list is capped/defaulted (limit defaults to 25 per schema).

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 sentences, zero filler, and the core purpose plus access scope is front-loaded before the usage hint and endpoint. Every sentence earns its place.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no output schema, the description usefully enumerates the returned fields and flags the call as a discovery entry point, which is the key context an agent needs. The only minor gap is pagination/truncation behavior for a list that defaults to 25 rows.

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 all four parameters (limit, offset, groupId, hasManagerAccess) are fully documented in the schema itself. The description's parenthetical lists returned fields rather than parameters, adding no parameter semantics beyond the schema, making the baseline 3 correct.

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+resource ('List projects') and scopes it to those the token can access, which cleanly separates it from the singular 'crowdin_get_project' sibling. It even enumerates the returned fields, so an agent knows exactly what it gets back.

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?

'Good first call to discover project ids' gives clear, actionable when-to-use guidance for an agent starting a workflow. It stops short of naming an explicit alternative (e.g., use get_project once you have an id) or stating when-not to use it, so it falls just short of a 5.

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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