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LingoHub MCP by usefulapi

List projects

lingohub_list_projects
Read-only

List every Lingohub project this API key can see (owned and shared, across workspaces). Each entry has the title, its links and the workspace_url + project_url slugs that every other tool needs. GET /v1/projects.

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.4/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false and openWorldHint=true, so the safety profile is covered; the description adds real value beyond them by disclosing visibility scope (owned and shared, across workspaces) and the contents of each returned entry. It does not mention ordering, size limits or pagination behavior for a potentially large cross-workspace listing.

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 sentences with no filler: the scope statement comes first, then the payload contents, then the underlying endpoint. Every clause carries information an agent would otherwise have to infer.

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 correctly compensates by naming the fields each entry contains and why they matter. The only gap is behavioral scale information — whether the full cross-workspace list is returned at once or truncated — which matters for an 'every project' listing.

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 takes zero parameters, so the baseline is 4 and there is no parameter syntax the description could usefully add. The description instead documents the response fields (title, links, workspace_url and project_url slugs), which is appropriate for a no-arg tool.

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 (Lingohub projects) plus the exact scope: every project the API key can see, owned and shared, across workspaces. That scope phrasing implicitly separates it from the singular lingohub_get_project and the status siblings, so an agent can route correctly without opening a schema.

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 sentence 'the workspace_url + project_url slugs that every other tool needs' makes clear this is the entry-point call that supplies identifiers to the rest of the toolset. It stops short of naming a specific alternative or an exclusion (e.g., when to use get_project instead), so it is strong context rather than full when/when-not guidance.

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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