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Crowdin MCP by usefulapi

List files

crowdin_list_files
Read-only

List source files in a project (id, name, path, type, status). Crowdin API: GET /projects/{projectId}/files.

Input Schema

NameRequiredDescriptionDefault
limitNoMax rows (max 500, default 25).
filterNoFilter files by name substring.
offsetNoRows to skip (default 0).
branchIdNoFilter by branch id.
projectIdYesNumeric project id.
directoryIdNoFilter by directory id.

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

B3.2/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, so the safety profile is covered. The description adds the endpoint (GET /projects/{projectId}/files) and the shape of returned rows, but does not mention pagination defaults, total counts, or permission requirements beyond what the schema implies.

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?

Two short sentences, front-loaded with the action and scope, followed by the API endpoint. Nothing is padded, though the endpoint reference is of limited value to an agent that already has the schema.

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, listing the returned fields (id, name, path, type, status) usefully compensates. Annotations cover read-only safety and the 100%-covered schema covers parameters, so the description is nearly complete for a list tool; it only omits mention of pagination/filtering behavior.

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% (limit, offset, filter, branchId, directoryId, projectId are all documented in the schema), so the schema already carries parameter meaning. The description's parenthetical lists return fields rather than parameter semantics, adding no extra param context.

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?

States a specific verb (List) and resource (source files in a project), and even enumerates the returned fields and the underlying API endpoint. It is clearly distinct from write siblings like crowdin_add_string, though it does not explicitly contrast itself with the nearby crowdin_list_strings/crowdin_list_branches alternatives.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description only says what the tool returns; it gives no when-to-use guidance, no prerequisites, and never names an alternative such as crowdin_list_directories or crowdin_list_branches. Usage is inferable from the name alone, leaving real routing decisions to inference.

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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