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alidade-ai

Alidade MCP

Official
by alidade-ai

Get workspace info

get_workspace_info
Read-only

Identify the calling workspace's name, API access tier, authentication method, rate limit, and monthly post-quota status to verify the connection and see available access.

Instructions

Identify the calling workspace: name, API access tier, how the call was authenticated, request rate limit, and monthly post-quota status. Useful as a first call to verify the connection works and see what access is available.

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.1

TDQS

A4.5/5.0
Behavior4/5

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

readOnlyHint=true already declares the safety profile, so the description's job is to add context — which it does by disclosing the diagnostic purpose and the exact informational payload returned. It stops short of stating there are no side effects or whether the call is rate-limited itself, but the added context is meaningful.

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, zero waste, and the payload description is front-loaded before the usage hint. Every clause carries information an agent would otherwise have to discover by calling the tool.

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?

There is no output schema, so the description must describe return values — and it does, listing five distinct fields. Combined with the annotations and the zero-parameter schema, an agent has everything needed to call it correctly and interpret the result.

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 there is no parameter semantics to explain; the empty object schema is self-evident. Baseline 4 applies since nothing is left ambiguous about invocation inputs.

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 and resource (identify the calling workspace) and enumerates exactly what is returned: name, API access tier, auth method, rate limit, and monthly post-quota status. No sibling tool overlaps this self-introspection role, so an agent can select it unambiguously.

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?

Explicitly names a usage context: 'Useful as a first call to verify the connection works and see what access is available.' That covers the when, but gives no exclusions or alternatives for the case where the agent already knows its workspace context.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.