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Crowdin MCP by usefulapi

List tasks

crowdin_list_tasks
Read-only

List translation/proofreading tasks in a project (id, title, status, assignees). Crowdin API: GET /projects/{projectId}/tasks.

Input Schema

NameRequiredDescriptionDefault
limitNoMax rows (max 500, default 25).
offsetNoRows to skip (default 0).
statusNoFilter by task status.
projectIdYesNumeric project id.
assigneeIdNoFilter by assignee user 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

B3.4/5.0
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 useful context by enumerating the returned fields (id, title, status, assignees) and citing the underlying API endpoint, but it discloses nothing about pagination behavior or how status/assignee filters affect the result set.

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?

Two short sentences, front-loaded with the purpose and followed by the return fields and endpoint. No filler or redundancy.

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?

For a read-only list tool with no output schema, naming the returned fields compensates well and the endpoint reference anchors it. Only pagination/result-set behavior is unaddressed, which the schema largely covers.

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%, including limits, defaults, and the status enum, so the schema carries parameter semantics fully. The description's parenthetical field list adds minor value but no syntax or filtering detail beyond the schema.

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 ('translation/proofreading tasks in a project') plus the returned fields, which clearly separates it from siblings like crowdin_list_projects or crowdin_list_members. It does not explicitly name an alternative list tool, but the resource is unambiguous.

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?

There is no guidance on when to use this versus alternatives, nor on prerequisites (e.g., that projectId is required, or how filtering narrows results). Usage is only implied by the tool name and the word 'in a project'.

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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